教師資料查詢 | 類別: 會議論文 | 教師: 蔡奇謚 Chi-yi Tsai (瀏覽個人網頁)

標題:6-DOF Object Posture Estimation Based on a 3D Hough Voting Algorithm
學年104
學期1
發表日期2015/11/18
作品名稱6-DOF Object Posture Estimation Based on a 3D Hough Voting Algorithm
作品名稱(其他語言)
著者Chi-Yi Tsai; Chih-Hung Huang; Shu-Hsiang Tsai
作品所屬單位
出版者
會議名稱The 2015 International Automatic Control Conference (CACS2015)
會議地點Yilan, Taiwan
摘要This paper addresses the design of a model-based 3D object pose estimation algorithm, which is one of the major techniques to develop a robust visual tracking system. The proposed algorithm first extracts line features of a captured image by using edge detection and Hough transform techniques. Given a CAD model of the object-of-interest, the 3D pose of the object can then be estimated through a nonlinear model fitting process.
關鍵字
語言英文
收錄於
會議性質國內
校內研討會地點
研討會時間20151118~20151120
通訊作者
國別中華民國
公開徵稿
出版型式
出處Proceedings of The 2015 International Automatic Control Conference (CACS2015)
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