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ideas
Yana edited this page May 22, 2017
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visually detect contact (using proximity, shade, finger appearance (whitening?)
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as in SMPLify find 3D mesh for exisiting model and infer joints (a bit done in nyu-dataset where depth maps are generated from model to fit target)
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use hand parts (possibility to create 3D synthetic dataset)
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unsupervised approach for grasp classification
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consider that optimal grasp is used
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visually infer independent contact regions (see definition in grasps)