XRミーティング 2022/06/15【AR/CR/MR/SR/VR】(https://osaka-driven-dev.connpass.com/event/250007/)
Mixed Reality Dev Days 2022でpublic previewとなったMRTK3のプロジェクト環境を作り方について。
手順は
Qiita(https://qiita.com/miyaura/items/df5947d45cb3b86bbf18)
Tokyo HoloLens ミートアップ vol.30(https://hololens.connpass.com/event/249363/)登壇資料。先日あったMixed Reality Dev Days 2022のMRTK3をセションをぎゅっと濃縮してMRTK3概要、基本的な話、興味深い機能の紹介。
Tokyo HoloLens ミートアップ vol.30(https://hololens.connpass.com/event/249363/)登壇資料。先日あったMixed Reality Dev Days 2022のMRTK3をセションをぎゅっと濃縮してMRTK3概要、基本的な話、興味深い機能の紹介。
The document discusses using facial tracking with AI and WebXR to create a pseudo-3D representation. It provides steps to download sample files and setup, then explains using MediaPipe and TensorFlow to implement real-time facial recognition and link the camera position to the detected face position, creating a sense of 3D. Code snippets are included to initialize the model, start face tracking each frame, and display the 3D scene and camera video feed.