3-D object recognition by line features using binocular images

ASIAIR > College of Computer Science > Department of Information Communication > Journal Article > Item 310904400/4304

Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/4304

Title:	3-D object recognition by line features using binocular images
Authors:	W. H. Tsai;S. I. Gao;N. Y. Yeh
Contributors:	Department of Information Communication
Date:	1986-01
Issue Date:	2009-11-25 02:30:47 (UTC+0)
Publisher:	Asia University
Abstract:	A binocular vision system for 3-D object recognition is proposed. The objects to be recognized are assumed to have line features on their surfaces. Line segments are used as the units for object surface representation. A line correspondence algorithm is designed to find corresponding line segments in binocular images. Such line pairs are used to find corresponding corner points on the object surface, by which 3-D data can be computed. They are then used for shape matching which consists of 3-D registration and similarity comparison. The 3-D registration is accomplished by an extended line-based generalized Hough transform algorithm. And the similarity measure is defined in terms of the overlapping line segment length of two compared shapes. Experimental results show the feasibility of the proposed approach.
Relation:	Information Science and Engineering (now Journal of Information Science and Engineering) 2 (1): 99-123
Appears in Collections:	[Department of Information Communication] Journal Article

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