際際滷shows by User: MunishJindal / http://www.slideshare.net/images/logo.gif 際際滷shows by User: MunishJindal / Sat, 27 Feb 2021 09:08:36 GMT 際際滷Share feed for 際際滷shows by User: MunishJindal 2D Object Recognition Techniques: State-of-the-Art Work /slideshow/2d-object-recognition-techniques-stateoftheart-work/243551328 img1-210227090836
In this paper, various feature extraction techniques and classification algorithms are discussed which are required for object recognition. As the deep learning has made a tremendous improvement in object recognition process, so the paper also presents the recognition results achieved with various deep learning methods. The survey also includes the applications of object recognition system and various challenges faced while recognizing the object. ]]>
In this paper, various feature extraction techniques and classification algorithms are discussed which are required for object recognition. As the deep learning has made a tremendous improvement in object recognition process, so the paper also presents the recognition results achieved with various deep learning methods. The survey also includes the applications of object recognition system and various challenges faced while recognizing the object. ]]> Sat, 27 Feb 2021 09:08:36 GMT /slideshow/2d-object-recognition-techniques-stateoftheart-work/243551328 MunishJindal@slideshare.net(MunishJindal) 2D Object Recognition Techniques: State-of-the-Art Work MunishJindal In this paper, various feature extraction techniques and classification algorithms are discussed which are required for object recognition. As the deep learning has made a tremendous improvement in object recognition process, so the paper also presents the recognition results achieved with various deep learning methods. The survey also includes the applications of object recognition system and various challenges faced while recognizing the object. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/img1-210227090836-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this paper, various feature extraction techniques and classification algorithms are discussed which are required for object recognition. As the deep learning has made a tremendous improvement in object recognition process, so the paper also presents the recognition results achieved with various deep learning methods. The survey also includes the applications of object recognition system and various challenges faced while recognizing the object.
2D Object Recognition Techniques: State-of-the-Art Work from Munish Jindal
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