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- W2409923860 abstract "The paper describes an approach for selection of feature points on three-dimensional, triangle mesh obtained using various techniques from several video footages. This approach has a dual purpose. First, it allows to minimize the data stored for the purpose of facial animation, so that instead of storing position of each vertex in each frame, one could store only a small subset of vertices for each frame and calculate positions of others based on the subset. Second purpose is to select feature points that could be used for anthropometry-based retargeting of recorded mimicry to another model, with sampling density beyond that which can be achieved using marker-based performance capture techniques. Developed approach was successfully tested on artificial models, models constructed using structured light scanner, and models constructed from video footages using stereophotogrammetry." @default.
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- W2409923860 date "2016-01-01" @default.
- W2409923860 modified "2023-10-17" @default.
- W2409923860 title "Dense mesh sampling for video-based facial animation" @default.
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- W2409923860 doi "https://doi.org/10.1063/1.4951962" @default.
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