ºÝºÝߣshows by User: AlfredoBallesterFern / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: AlfredoBallesterFern / Mon, 21 Oct 2019 13:48:08 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: AlfredoBallesterFern BODYPASS /AlfredoBallesterFern/bodypass 10191021bodypasslugano19v2-191021134808
Presentation of BODYPASS at the Face-to-Face meeting of IEEE IC 3D Body Processing working group, at the open forum session, during 3DBODY.TECH 2019 Conference and Expo, Lugano, Switzerland BODYPASS is a 3-year project funded by European Union's Horizon 2020 research and innovation programme under grant agreement No 779780]]>

Presentation of BODYPASS at the Face-to-Face meeting of IEEE IC 3D Body Processing working group, at the open forum session, during 3DBODY.TECH 2019 Conference and Expo, Lugano, Switzerland BODYPASS is a 3-year project funded by European Union's Horizon 2020 research and innovation programme under grant agreement No 779780]]>
Mon, 21 Oct 2019 13:48:08 GMT /AlfredoBallesterFern/bodypass AlfredoBallesterFern@slideshare.net(AlfredoBallesterFern) BODYPASS AlfredoBallesterFern Presentation of BODYPASS at the Face-to-Face meeting of IEEE IC 3D Body Processing working group, at the open forum session, during 3DBODY.TECH 2019 Conference and Expo, Lugano, Switzerland BODYPASS is a 3-year project funded by European Union's Horizon 2020 research and innovation programme under grant agreement No 779780 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/10191021bodypasslugano19v2-191021134808-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation of BODYPASS at the Face-to-Face meeting of IEEE IC 3D Body Processing working group, at the open forum session, during 3DBODY.TECH 2019 Conference and Expo, Lugano, Switzerland BODYPASS is a 3-year project funded by European Union&#39;s Horizon 2020 research and innovation programme under grant agreement No 779780
BODYPASS from Alfredo BALLESTER FERNテ¨DEZ
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3D Human Models from 1D, 2D & 3D Inputs @3DBODY.TECH 17th Oct 2018 /slideshow/3-dbt2018-id36ballesterv04pdf/120112360 3dbt2018id36ballesterv04pdf-181020091543
Presentation made @3DBODY.TECH Lugano, 17th October 2018. This paper presents partial results of a larger validation study of different Data-driven 3D Reconstruction (D3DR) technologies developed by IBV to create watertight 3D human models from measurements (1D3D), 2D images (2D3D) or raw scans (3D3D). This study quantifies the reliability (Standard Error of Measurement, SEM; Mean Absolute Deviation, MAD; Intra-class Correlation Coefficient, ICC; and Coefficient of Variation, CV) of body measurements taken on human subjects. Our results are also compared to similar studies found in literature assessing the reliability of digital and traditional anthropometry. Moreover, we assess the compatibility (bias and Mean Absolute Error, MAE) of measurements between D3DR technologies. The results show that 2D3D can provide visually accurate body shapes and, for the measurements assessed, 2D3D is as reliable as high-resolution 3D scanners. It is also more accurate than manual measurements taken by untrained users. Due to accessibility, cost and portability (e.g. 2D3D built in a smartphone app) they could be more suitable than other methods at locations where body scanners are not available such as homes, medical or physical therapy offices, and small retail stores and gyms.]]>

Presentation made @3DBODY.TECH Lugano, 17th October 2018. This paper presents partial results of a larger validation study of different Data-driven 3D Reconstruction (D3DR) technologies developed by IBV to create watertight 3D human models from measurements (1D3D), 2D images (2D3D) or raw scans (3D3D). This study quantifies the reliability (Standard Error of Measurement, SEM; Mean Absolute Deviation, MAD; Intra-class Correlation Coefficient, ICC; and Coefficient of Variation, CV) of body measurements taken on human subjects. Our results are also compared to similar studies found in literature assessing the reliability of digital and traditional anthropometry. Moreover, we assess the compatibility (bias and Mean Absolute Error, MAE) of measurements between D3DR technologies. The results show that 2D3D can provide visually accurate body shapes and, for the measurements assessed, 2D3D is as reliable as high-resolution 3D scanners. It is also more accurate than manual measurements taken by untrained users. Due to accessibility, cost and portability (e.g. 2D3D built in a smartphone app) they could be more suitable than other methods at locations where body scanners are not available such as homes, medical or physical therapy offices, and small retail stores and gyms.]]>
Sat, 20 Oct 2018 09:15:43 GMT /slideshow/3-dbt2018-id36ballesterv04pdf/120112360 AlfredoBallesterFern@slideshare.net(AlfredoBallesterFern) 3D Human Models from 1D, 2D & 3D Inputs @3DBODY.TECH 17th Oct 2018 AlfredoBallesterFern Presentation made @3DBODY.TECH Lugano, 17th October 2018. This paper presents partial results of a larger validation study of different Data-driven 3D Reconstruction (D3DR) technologies developed by IBV to create watertight 3D human models from measurements (1D3D), 2D images (2D3D) or raw scans (3D3D). This study quantifies the reliability (Standard Error of Measurement, SEM; Mean Absolute Deviation, MAD; Intra-class Correlation Coefficient, ICC; and Coefficient of Variation, CV) of body measurements taken on human subjects. Our results are also compared to similar studies found in literature assessing the reliability of digital and traditional anthropometry. Moreover, we assess the compatibility (bias and Mean Absolute Error, MAE) of measurements between D3DR technologies. The results show that 2D3D can provide visually accurate body shapes and, for the measurements assessed, 2D3D is as reliable as high-resolution 3D scanners. It is also more accurate than manual measurements taken by untrained users. Due to accessibility, cost and portability (e.g. 2D3D built in a smartphone app) they could be more suitable than other methods at locations where body scanners are not available such as homes, medical or physical therapy offices, and small retail stores and gyms. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/3dbt2018id36ballesterv04pdf-181020091543-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation made @3DBODY.TECH Lugano, 17th October 2018. This paper presents partial results of a larger validation study of different Data-driven 3D Reconstruction (D3DR) technologies developed by IBV to create watertight 3D human models from measurements (1D3D), 2D images (2D3D) or raw scans (3D3D). This study quantifies the reliability (Standard Error of Measurement, SEM; Mean Absolute Deviation, MAD; Intra-class Correlation Coefficient, ICC; and Coefficient of Variation, CV) of body measurements taken on human subjects. Our results are also compared to similar studies found in literature assessing the reliability of digital and traditional anthropometry. Moreover, we assess the compatibility (bias and Mean Absolute Error, MAE) of measurements between D3DR technologies. The results show that 2D3D can provide visually accurate body shapes and, for the measurements assessed, 2D3D is as reliable as high-resolution 3D scanners. It is also more accurate than manual measurements taken by untrained users. Due to accessibility, cost and portability (e.g. 2D3D built in a smartphone app) they could be more suitable than other methods at locations where body scanners are not available such as homes, medical or physical therapy offices, and small retail stores and gyms.
3D Human Models from 1D, 2D & 3D Inputs @3DBODY.TECH 17th Oct 2018 from Alfredo BALLESTER FERNテ¨DEZ
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Fast, portable & low cost 3D foot digitizers: validity & reliability @3DBody.Tech 12th Oct 2017 /slideshow/fast-portable-low-cost-3d-foot-digitizers-validity-reliability-3dbodytech-12th-oct-2017-81284902/81284902 201710123dbtpaper37ballesterslidesharev3-171027135911
Presenetation of the results of the validation study of data-driven 3D reconstruction technologies for the foot developed by IBV: DomeScan and Avatar 3D app. It also presents an insight to the 3D reconstruction of full bodies from raw scans and from two images taken with a smartphone. ]]>

Presenetation of the results of the validation study of data-driven 3D reconstruction technologies for the foot developed by IBV: DomeScan and Avatar 3D app. It also presents an insight to the 3D reconstruction of full bodies from raw scans and from two images taken with a smartphone. ]]>
Fri, 27 Oct 2017 13:59:11 GMT /slideshow/fast-portable-low-cost-3d-foot-digitizers-validity-reliability-3dbodytech-12th-oct-2017-81284902/81284902 AlfredoBallesterFern@slideshare.net(AlfredoBallesterFern) Fast, portable & low cost 3D foot digitizers: validity & reliability @3DBody.Tech 12th Oct 2017 AlfredoBallesterFern Presenetation of the results of the validation study of data-driven 3D reconstruction technologies for the foot developed by IBV: DomeScan and Avatar 3D app. It also presents an insight to the 3D reconstruction of full bodies from raw scans and from two images taken with a smartphone. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/201710123dbtpaper37ballesterslidesharev3-171027135911-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presenetation of the results of the validation study of data-driven 3D reconstruction technologies for the foot developed by IBV: DomeScan and Avatar 3D app. It also presents an insight to the 3D reconstruction of full bodies from raw scans and from two images taken with a smartphone.
Fast, portable & low cost 3D foot digitizers: validity & reliability @3DBody.Tech 12th Oct 2017 from Alfredo BALLESTER FERNテ¨DEZ
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Kidsize: always get the right size! @3DBody.Tech 1st Dec 2016 /slideshow/kidsize-always-get-the-right-size-3dbodytech2016/69837366 20161201kidsize3dbst2016paper34v10slideshare-161205150151
Kidsize is a proof-of-concept developed by IBV. This presentation describes the two innovations underpinning Kidsize concept and presents the results of their validation. The first one is a mobile phone app to measure a child in 3D by taking two pictures. This new method is more accurate and consistent than an untrained person using a measuring tape at home or in the shop. The second one is an expert system that recommends the size that best fits the child and assesses the fit of the garment at different body areas. Project results show that it can provide nearly 90% right size recommendations, thus outperforming existing methods like age- or height-based size guides, which achieve 40 and 60% right recommendations respectively.]]>

Kidsize is a proof-of-concept developed by IBV. This presentation describes the two innovations underpinning Kidsize concept and presents the results of their validation. The first one is a mobile phone app to measure a child in 3D by taking two pictures. This new method is more accurate and consistent than an untrained person using a measuring tape at home or in the shop. The second one is an expert system that recommends the size that best fits the child and assesses the fit of the garment at different body areas. Project results show that it can provide nearly 90% right size recommendations, thus outperforming existing methods like age- or height-based size guides, which achieve 40 and 60% right recommendations respectively.]]>
Mon, 05 Dec 2016 15:01:51 GMT /slideshow/kidsize-always-get-the-right-size-3dbodytech2016/69837366 AlfredoBallesterFern@slideshare.net(AlfredoBallesterFern) Kidsize: always get the right size! @3DBody.Tech 1st Dec 2016 AlfredoBallesterFern Kidsize is a proof-of-concept developed by IBV. This presentation describes the two innovations underpinning Kidsize concept and presents the results of their validation. The first one is a mobile phone app to measure a child in 3D by taking two pictures. This new method is more accurate and consistent than an untrained person using a measuring tape at home or in the shop. The second one is an expert system that recommends the size that best fits the child and assesses the fit of the garment at different body areas. Project results show that it can provide nearly 90% right size recommendations, thus outperforming existing methods like age- or height-based size guides, which achieve 40 and 60% right recommendations respectively. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20161201kidsize3dbst2016paper34v10slideshare-161205150151-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Kidsize is a proof-of-concept developed by IBV. This presentation describes the two innovations underpinning Kidsize concept and presents the results of their validation. The first one is a mobile phone app to measure a child in 3D by taking two pictures. This new method is more accurate and consistent than an untrained person using a measuring tape at home or in the shop. The second one is an expert system that recommends the size that best fits the child and assesses the fit of the garment at different body areas. Project results show that it can provide nearly 90% right size recommendations, thus outperforming existing methods like age- or height-based size guides, which achieve 40 and 60% right recommendations respectively.
Kidsize: always get the right size! @3DBody.Tech 1st Dec 2016 from Alfredo BALLESTER FERNテ¨DEZ
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3D anthropometry applied to Fashion industry @ MODINT Sizing Seminar, 23rd June 2016, Zeist, The Netherlands /AlfredoBallesterFern/3d-anthropometry-applied-to-fashion-industry 20160623ibvatmodint-160701152214
Long version of the demo/presentation made @ MODINT Sizing Seminar 2016 (23rd June 2016) in Zeist (The Netherlands). It includes videos from Kidsize and Eurofit projects.]]>

Long version of the demo/presentation made @ MODINT Sizing Seminar 2016 (23rd June 2016) in Zeist (The Netherlands). It includes videos from Kidsize and Eurofit projects.]]>
Fri, 01 Jul 2016 15:22:14 GMT /AlfredoBallesterFern/3d-anthropometry-applied-to-fashion-industry AlfredoBallesterFern@slideshare.net(AlfredoBallesterFern) 3D anthropometry applied to Fashion industry @ MODINT Sizing Seminar, 23rd June 2016, Zeist, The Netherlands AlfredoBallesterFern Long version of the demo/presentation made @ MODINT Sizing Seminar 2016 (23rd June 2016) in Zeist (The Netherlands). It includes videos from Kidsize and Eurofit projects. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20160623ibvatmodint-160701152214-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Long version of the demo/presentation made @ MODINT Sizing Seminar 2016 (23rd June 2016) in Zeist (The Netherlands). It includes videos from Kidsize and Eurofit projects.
3D anthropometry applied to Fashion industry @ MODINT Sizing Seminar, 23rd June 2016, Zeist, The Netherlands from Alfredo BALLESTER FERNテ¨DEZ
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Low-cost data-driven 3D reconstruction and its applications @ 6th ICE 3D Body Scanning Tecnologies, October 2015, Lugano /slideshow/lowcost-datadriven-3d-reconstruction-and-its-applications/54570134 20151028paper34v11pptsplit-151030150537-lva1-app6891
Presented the 28th October 2015 at the 6th International Conference and Exhibition on body Scanning Technologies 2015, Hometrica Consulting, Lugano, Switzerland. The access to the 3D representation of people’s body shape has multiple applications to consumer goods which performance is related to human body dimensions or shape. This is the case of wearables such as clothing, footwear, headgear, orthotics, or equipment/environments such as furniture, transports or workstations. Some of the existing and potential applications of 3D human representations include personalisation, virtual try-on or size allocation for wearables or product configuration/adjustment for equipment/environments. However, the cost of 3D scanners is high; the devices are too bulky for homes and retail stores; and its proper use requires expertise to get the relevant parameters from the 3D object (e.g. measurements). These three barriers are currently hindering the massive spreading of 3D scanners as consumer good or as typical in-store appliance. This paper describes an array of approaches for realistically estimating human 3D shapes (i.e. full bodies or feet) using a regular smartphone or just entering a set of parameters (e.g. age, gender and self-taken measurements). The proposed approaches are based on data-driven 3D reconstructions, using parameterised shape spaces created from large 3D human body or feet databases. The algorithm finds the combination of shape parameters that best matches either the silhouettes extracted from the images or the body measurements entered. Despite not being actual body scanners, these solutions are easy-to-use and can provide enough accuracy for applications such as virtual try-on, made-to-measure or size allocation of certain types of wearables. Moreover, they can be distributed to the final consumer or to the points of sale at a really reduced cost (or even for free), thus overcoming the main barriers to the massive spreading of its use in e-commerce, new retail experiences, new production pipelines or new business models. In order to illustrate these technologies, some examples of application to different contexts (i.e. virtual worlds, e-commerce and personalisation) are presented: virtual try-on of female fashion (VisuaLook), size allocation for childrenswear (KIDSIZE), personalised comfort insoles (Sunfeet) and personalised shoes (Feetz).]]>

Presented the 28th October 2015 at the 6th International Conference and Exhibition on body Scanning Technologies 2015, Hometrica Consulting, Lugano, Switzerland. The access to the 3D representation of people’s body shape has multiple applications to consumer goods which performance is related to human body dimensions or shape. This is the case of wearables such as clothing, footwear, headgear, orthotics, or equipment/environments such as furniture, transports or workstations. Some of the existing and potential applications of 3D human representations include personalisation, virtual try-on or size allocation for wearables or product configuration/adjustment for equipment/environments. However, the cost of 3D scanners is high; the devices are too bulky for homes and retail stores; and its proper use requires expertise to get the relevant parameters from the 3D object (e.g. measurements). These three barriers are currently hindering the massive spreading of 3D scanners as consumer good or as typical in-store appliance. This paper describes an array of approaches for realistically estimating human 3D shapes (i.e. full bodies or feet) using a regular smartphone or just entering a set of parameters (e.g. age, gender and self-taken measurements). The proposed approaches are based on data-driven 3D reconstructions, using parameterised shape spaces created from large 3D human body or feet databases. The algorithm finds the combination of shape parameters that best matches either the silhouettes extracted from the images or the body measurements entered. Despite not being actual body scanners, these solutions are easy-to-use and can provide enough accuracy for applications such as virtual try-on, made-to-measure or size allocation of certain types of wearables. Moreover, they can be distributed to the final consumer or to the points of sale at a really reduced cost (or even for free), thus overcoming the main barriers to the massive spreading of its use in e-commerce, new retail experiences, new production pipelines or new business models. In order to illustrate these technologies, some examples of application to different contexts (i.e. virtual worlds, e-commerce and personalisation) are presented: virtual try-on of female fashion (VisuaLook), size allocation for childrenswear (KIDSIZE), personalised comfort insoles (Sunfeet) and personalised shoes (Feetz).]]>
Fri, 30 Oct 2015 15:05:37 GMT /slideshow/lowcost-datadriven-3d-reconstruction-and-its-applications/54570134 AlfredoBallesterFern@slideshare.net(AlfredoBallesterFern) Low-cost data-driven 3D reconstruction and its applications @ 6th ICE 3D Body Scanning Tecnologies, October 2015, Lugano AlfredoBallesterFern Presented the 28th October 2015 at the 6th International Conference and Exhibition on body Scanning Technologies 2015, Hometrica Consulting, Lugano, Switzerland. The access to the 3D representation of people’s body shape has multiple applications to consumer goods which performance is related to human body dimensions or shape. This is the case of wearables such as clothing, footwear, headgear, orthotics, or equipment/environments such as furniture, transports or workstations. Some of the existing and potential applications of 3D human representations include personalisation, virtual try-on or size allocation for wearables or product configuration/adjustment for equipment/environments. However, the cost of 3D scanners is high; the devices are too bulky for homes and retail stores; and its proper use requires expertise to get the relevant parameters from the 3D object (e.g. measurements). These three barriers are currently hindering the massive spreading of 3D scanners as consumer good or as typical in-store appliance. This paper describes an array of approaches for realistically estimating human 3D shapes (i.e. full bodies or feet) using a regular smartphone or just entering a set of parameters (e.g. age, gender and self-taken measurements). The proposed approaches are based on data-driven 3D reconstructions, using parameterised shape spaces created from large 3D human body or feet databases. The algorithm finds the combination of shape parameters that best matches either the silhouettes extracted from the images or the body measurements entered. Despite not being actual body scanners, these solutions are easy-to-use and can provide enough accuracy for applications such as virtual try-on, made-to-measure or size allocation of certain types of wearables. Moreover, they can be distributed to the final consumer or to the points of sale at a really reduced cost (or even for free), thus overcoming the main barriers to the massive spreading of its use in e-commerce, new retail experiences, new production pipelines or new business models. In order to illustrate these technologies, some examples of application to different contexts (i.e. virtual worlds, e-commerce and personalisation) are presented: virtual try-on of female fashion (VisuaLook), size allocation for childrenswear (KIDSIZE), personalised comfort insoles (Sunfeet) and personalised shoes (Feetz). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20151028paper34v11pptsplit-151030150537-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presented the 28th October 2015 at the 6th International Conference and Exhibition on body Scanning Technologies 2015, Hometrica Consulting, Lugano, Switzerland. The access to the 3D representation of people’s body shape has multiple applications to consumer goods which performance is related to human body dimensions or shape. This is the case of wearables such as clothing, footwear, headgear, orthotics, or equipment/environments such as furniture, transports or workstations. Some of the existing and potential applications of 3D human representations include personalisation, virtual try-on or size allocation for wearables or product configuration/adjustment for equipment/environments. However, the cost of 3D scanners is high; the devices are too bulky for homes and retail stores; and its proper use requires expertise to get the relevant parameters from the 3D object (e.g. measurements). These three barriers are currently hindering the massive spreading of 3D scanners as consumer good or as typical in-store appliance. This paper describes an array of approaches for realistically estimating human 3D shapes (i.e. full bodies or feet) using a regular smartphone or just entering a set of parameters (e.g. age, gender and self-taken measurements). The proposed approaches are based on data-driven 3D reconstructions, using parameterised shape spaces created from large 3D human body or feet databases. The algorithm finds the combination of shape parameters that best matches either the silhouettes extracted from the images or the body measurements entered. Despite not being actual body scanners, these solutions are easy-to-use and can provide enough accuracy for applications such as virtual try-on, made-to-measure or size allocation of certain types of wearables. Moreover, they can be distributed to the final consumer or to the points of sale at a really reduced cost (or even for free), thus overcoming the main barriers to the massive spreading of its use in e-commerce, new retail experiences, new production pipelines or new business models. In order to illustrate these technologies, some examples of application to different contexts (i.e. virtual worlds, e-commerce and personalisation) are presented: virtual try-on of female fashion (VisuaLook), size allocation for childrenswear (KIDSIZE), personalised comfort insoles (Sunfeet) and personalised shoes (Feetz).
Low-cost data-driven 3D reconstruction and its applications @ 6th ICE 3D Body Scanning Tecnologies, October 2015, Lugano from Alfredo BALLESTER FERNテ¨DEZ
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Exploitation of 3D-Based Anthropometric Resources @ CADANS seminar, June 2015, Antwerp University /AlfredoBallesterFern/20150602-cadans-seminar-v08slideshare04 20150602cadansseminarv08slideshare04-150606065542-lva1-app6892
CADANS seminar 2nd June 2015, Antwerp. Keynote presentation. IBV is a research centre that studies the behaviour of the human body and its interaction with products, environments and services. In particular, the Anthopometrics Research Group presents 3D harmonised databases of the spanish population bodies and feet. It also presents several applications of 3D shape analysis to size design, size allocation and personalisation of footwear, clothing, childrenswear and earphones.]]>

CADANS seminar 2nd June 2015, Antwerp. Keynote presentation. IBV is a research centre that studies the behaviour of the human body and its interaction with products, environments and services. In particular, the Anthopometrics Research Group presents 3D harmonised databases of the spanish population bodies and feet. It also presents several applications of 3D shape analysis to size design, size allocation and personalisation of footwear, clothing, childrenswear and earphones.]]>
Sat, 06 Jun 2015 06:55:42 GMT /AlfredoBallesterFern/20150602-cadans-seminar-v08slideshare04 AlfredoBallesterFern@slideshare.net(AlfredoBallesterFern) Exploitation of 3D-Based Anthropometric Resources @ CADANS seminar, June 2015, Antwerp University AlfredoBallesterFern CADANS seminar 2nd June 2015, Antwerp. Keynote presentation. IBV is a research centre that studies the behaviour of the human body and its interaction with products, environments and services. In particular, the Anthopometrics Research Group presents 3D harmonised databases of the spanish population bodies and feet. It also presents several applications of 3D shape analysis to size design, size allocation and personalisation of footwear, clothing, childrenswear and earphones. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20150602cadansseminarv08slideshare04-150606065542-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> CADANS seminar 2nd June 2015, Antwerp. Keynote presentation. IBV is a research centre that studies the behaviour of the human body and its interaction with products, environments and services. In particular, the Anthopometrics Research Group presents 3D harmonised databases of the spanish population bodies and feet. It also presents several applications of 3D shape analysis to size design, size allocation and personalisation of footwear, clothing, childrenswear and earphones.
Exploitation of 3D-Based Anthropometric Resources @ CADANS seminar, June 2015, Antwerp University from Alfredo BALLESTER FERNテ¨DEZ
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3D-based Resources Fostering the Analysis, Use and Exploitation of availabale anthropometric data @ 5th ICE 3D Body Scanning Technologies, October 2014, Lugano /slideshow/3d-body-scanning-conference-2014-3d-based-resources-for-use-and/40782955 201410225ice-3dbstibvv12slideshare-141027134701-conversion-gate02
Today, there is an increasing availability of human body 3D data and an increasing number of anthropometric owners. This is due to the fact of the progressive conduction of large national surveys using high resolution 3D scanners and due to the increasing number of low-cost technologies for acquiring body shape with electronic consumer devices like webcams, smartphones or Kinect. However, the commercial use and exploitation in industry of digital anthropometric data is still limited to the use of 1D measurements extracted from this vast 3D information. There is a lack of universal resources enabling: to conjointly use and analyse datasets regardless from the source or type of scanning technology used, the flexible measurement extraction beyond pre-defined sets, and the analysis of the information contained in human shapes. This paper presents four software tool solutions aimed at addressing different user profiles and needs regarding the use and exploitation of the increasing number of 3D anthropometric data]]>

Today, there is an increasing availability of human body 3D data and an increasing number of anthropometric owners. This is due to the fact of the progressive conduction of large national surveys using high resolution 3D scanners and due to the increasing number of low-cost technologies for acquiring body shape with electronic consumer devices like webcams, smartphones or Kinect. However, the commercial use and exploitation in industry of digital anthropometric data is still limited to the use of 1D measurements extracted from this vast 3D information. There is a lack of universal resources enabling: to conjointly use and analyse datasets regardless from the source or type of scanning technology used, the flexible measurement extraction beyond pre-defined sets, and the analysis of the information contained in human shapes. This paper presents four software tool solutions aimed at addressing different user profiles and needs regarding the use and exploitation of the increasing number of 3D anthropometric data]]>
Mon, 27 Oct 2014 13:47:00 GMT /slideshow/3d-body-scanning-conference-2014-3d-based-resources-for-use-and/40782955 AlfredoBallesterFern@slideshare.net(AlfredoBallesterFern) 3D-based Resources Fostering the Analysis, Use and Exploitation of availabale anthropometric data @ 5th ICE 3D Body Scanning Technologies, October 2014, Lugano AlfredoBallesterFern Today, there is an increasing availability of human body 3D data and an increasing number of anthropometric owners. This is due to the fact of the progressive conduction of large national surveys using high resolution 3D scanners and due to the increasing number of low-cost technologies for acquiring body shape with electronic consumer devices like webcams, smartphones or Kinect. However, the commercial use and exploitation in industry of digital anthropometric data is still limited to the use of 1D measurements extracted from this vast 3D information. There is a lack of universal resources enabling: to conjointly use and analyse datasets regardless from the source or type of scanning technology used, the flexible measurement extraction beyond pre-defined sets, and the analysis of the information contained in human shapes. This paper presents four software tool solutions aimed at addressing different user profiles and needs regarding the use and exploitation of the increasing number of 3D anthropometric data <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/201410225ice-3dbstibvv12slideshare-141027134701-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Today, there is an increasing availability of human body 3D data and an increasing number of anthropometric owners. This is due to the fact of the progressive conduction of large national surveys using high resolution 3D scanners and due to the increasing number of low-cost technologies for acquiring body shape with electronic consumer devices like webcams, smartphones or Kinect. However, the commercial use and exploitation in industry of digital anthropometric data is still limited to the use of 1D measurements extracted from this vast 3D information. There is a lack of universal resources enabling: to conjointly use and analyse datasets regardless from the source or type of scanning technology used, the flexible measurement extraction beyond pre-defined sets, and the analysis of the information contained in human shapes. This paper presents four software tool solutions aimed at addressing different user profiles and needs regarding the use and exploitation of the increasing number of 3D anthropometric data
3D-based Resources Fostering the Analysis, Use and Exploitation of availabale anthropometric data @ 5th ICE 3D Body Scanning Technologies, October 2014, Lugano from Alfredo BALLESTER FERNテ¨DEZ
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https://cdn.slidesharecdn.com/profile-photo-AlfredoBallesterFern-48x48.jpg?cb=1605168377 Making 3D body data usable for Consumer Product Design anthropometry.ibv.org/ https://cdn.slidesharecdn.com/ss_thumbnails/10191021bodypasslugano19v2-191021134808-thumbnail.jpg?width=320&height=320&fit=bounds AlfredoBallesterFern/bodypass BODYPASS https://cdn.slidesharecdn.com/ss_thumbnails/3dbt2018id36ballesterv04pdf-181020091543-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/3-dbt2018-id36ballesterv04pdf/120112360 3D Human Models from 1... https://cdn.slidesharecdn.com/ss_thumbnails/201710123dbtpaper37ballesterslidesharev3-171027135911-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/fast-portable-low-cost-3d-foot-digitizers-validity-reliability-3dbodytech-12th-oct-2017-81284902/81284902 Fast, portable &amp; low c...