July 31, 1998 Updated by Ms. Jade Y.S. Hsu
Vol.2 No.1, pp.99-123 (January 1986)

3-D Object Recognition by Line Features
Using Binocular Images

Wen-Hsiang Tsai, Shu-In Gao* and Nai-Yuan Ywh*
Department of Information Science,
National Chiao Tung University,
Hsinchu, Taiwan 30050, Republic of China,
* Institute of Computer Engineering,
National Chiao Tung University,
Hsinchu, Taiwan 30050, Republic of China

        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.

JISE

  1. Deterministic Chinese Parsing Using Formal Semantics
  2. A Heuristic Algorithm for PLA Block Folding
  3. To Develop A Relational Data-Knowledge Base System For Solving Decision Problems With Large Data
  4. A New Pyramid Architecture for Bottom-Up Image Analysis
  5. 3-D Object Recognition by Line Features Using Binocular Images