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:CAD Model-based 3D Object Pose Estimation using an Edge-Based Nonlinear Model Fitting Algorithm
學年104
學期1
發表日期2015/09/02
作品名稱CAD Model-based 3D Object Pose Estimation using an Edge-Based Nonlinear Model Fitting Algorithm
作品名稱(其他語言)
著者Chi-Yi Tsai; Wei-Yi Wang; Chi-Hung Huang; Bo-Ren Shih
作品所屬單位
出版者
會議名稱Proceedings of the 3rd IIAE International Conference on Intelligent Systems and Image Processing 2015
會議地點Fukuoka University, Fukuoka, Japan
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 robotic vision system using a
monocular camera. The proposed system 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 6-DOF pose of the object can then be
estimated via a novel edge-based nonlinear model fitting
algorithm, which is a nonlinear optimization process for
estimating the optimal object pose based on an edge-based
distance metric. Experimental results validate the
performance of the proposed system.
關鍵字CAD model-based tracking;object pose estimation;model fitting;nonlinear optimization.
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20150902~20150905
通訊作者Chi-Yi Tsai
國別日本
公開徵稿
出版型式
出處Proceedings of the 3rd IIAE International Conference on Intelligent Systems and Image Processing 2015, pp.59-62
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