Visual Depth-Based Hand-Held Objects Segmentation and Classification
碩士 === 元智大學 === 電機工程學系 === 102 === Object recognition has always been a challenging issue, but in this paper we propose a variety of features integrated image processing technology to achieve the effect of object recognition. In our work will recognize the user both hands held object types by Kinect...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Online Access: | http://ndltd.ncl.edu.tw/handle/22c776 |