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Understanding Mouth Tracker Raw Neural Network Output


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Hello! Im Sammy from the Virtual Reality Computer Vision Group! Currently we are doing research into alternative methods for facial tracking inside HMDs and we would like to feature SRanipal in our first ever paper! However after obtaining the Vive Facial Tracker AI model (The raw model without SRanipal), we quickly realized that the output of the model is not consistent with current documentation. Would it be possible to tell us how SRanipal processes the raw output from the Vive Facial Tracker model?

 

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Lip reading is a technique to understand words or speech by visual interpretation of face, mouth, and lip movement without the involvement of audio.ABSTRACT. Lip reading is a technique to understand words or speech by vi- sual interpretation of face, mouth, and lip movement without the.Tracking the position, shape and movement of the face relative to ... For a deep neural   192.168.l.254    network to be evaluated in real-time (at least 30 ...This research facial expression, specially for smile and not smile expression, recognition using Artificial. Neural Network algorithm with Back Propagation ... In this study, the use of neural networks in lip reading is explored. We convert the video of the subject speaking different words into ...First, we extract key frames from each isolated video clip and use five key points to locate mouth region. Then, features are extracted from raw mouth images ...

 
 
 
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