3D object segmentation and recognition in cluttered scene base on rang data
碩士 === 國立交通大學 === 電機與控制工程系所 === 97 === In this thesis, a highly efficient 3D view-based object recognition system, which is to recognize 3D objects in cluttered scenes, is proposed. This system can handle the 3D noise in the range data because of measure error margin in the range finder, and increas...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Online Access: | http://ndltd.ncl.edu.tw/handle/99596426553029605423 |