CAD Model-based 3D Object Pose Estimation using an Edge-Based Nonlinear Model Fitting Algorithm

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 會議論文 > Item 987654321/106674

請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/106674

題名:	CAD Model-based 3D Object Pose Estimation using an Edge-Based Nonlinear Model Fitting Algorithm
作者:	Tsai, Chi-Yi;Wang, Wei-Yi;Huang, Chi-Hung;Shih, Bo-Ren
關鍵詞:	CAD model-based tracking;object pose estimation;model fitting;nonlinear optimization.
日期:	2015-09-05
上傳時間:	2016-04-27 11:20:40 (UTC+8)
出版者:	IIAE
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.
關聯:	Proceedings of the 3rd IIAE International Conference on Intelligent Systems and Image Processing 2015, pp.59-62
DOI:	10.12792/icisip2015.014
顯示於類別:	[電機工程學系暨研究所] 會議論文

文件中的檔案:

檔案	大小	格式	瀏覽次數
CAD Model-based 3D Object Pose Estimation using an Edge-Based Nonlinear Model Fitting Algorithm_議程1.pdf	69Kb	Adobe PDF	154	檢視/開啟
CAD Model-based 3D Object Pose Estimation using an Edge-Based Nonlinear Model Fitting Algorithm_議程2.pdf	97Kb	Adobe PDF	161	檢視/開啟
index.html	0Kb	HTML	297	檢視/開啟

在機構典藏中所有的資料項目都受到原著作權保護.

TAIR相關文章