Vision-Based 3D Pose Estimation for Random Bin Picking

碩士 === 國立中正大學 === 電機工程研究所 === 104 === Due to the recent development of industrial automation, some applications have been improved with computer vision techniques. One important task is to recognize and estimate the 3D pose of the object in the scene. In this work, we use a depth camera to capture t...

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Bibliographic Details
Main Authors: LIANG, SHIH-CHENG, 梁世承
Other Authors: LIN, HUEI-YUNG
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/42904717780260193752