Multi-view fusion and machine learning in hand pose estimation from depth images
This project studies an approach to hand pose estimation that relies on convolutional neural network. In the recent years, hand pose estimation has been the subject of extensive research, with data-driven approaches appearing as the preferred method to perform the complex task of regressing a hand p...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2018
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| Online Access: | http://hdl.handle.net/10356/74239 |