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Mapping facial tracking data to avatars is very challenging and time consuming, where a simple, yet efficient approach is strongly required. State-of-the-art methods are either vulnerable to noise or heavily reliant on complicated sensor devices. To deal with the noisy data, and without using a motion capture device, we present a novel vision-based facial expression animation framework by applying...
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