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 en
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20150902~20150905
通訊作者 Chi-Yi Tsai
國別 JPN
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
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/106674 )