Paper
19 February 1988 3 D Image Understanding Based On The Line Sequence Match
G. Xuan, Q. Wang
Author Affiliations +
Proceedings Volume 0848, Intelligent Robots and Computer Vision VI; (1988) https://doi.org/10.1117/12.942754
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States
Abstract
A method for 3 D image understanding based on the line sequence match is presented in this paper. It consists of four steps : (1) detecting edges by complate matching operators, then thinning them by a trace algorithm and fitting the straight lines based on the Minimum -Squared Error. (2) computing the similarity of line sequences and that of the intensity from the interval between paired edge lines using fuzzy algorithms, so that the matching of lines is optimized. (3) determing corresponding vertices in two images of an object with the pseudo inverse method and the constrain of matched lines. (4) obtaining the 3 D coordinates for vertices by means of geometrical computations.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
G. Xuan and Q. Wang "3 D Image Understanding Based On The Line Sequence Match", Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); https://doi.org/10.1117/12.942754
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Robot vision

Cameras

Computer vision technology

Machine vision

Image enhancement

Image understanding

RELATED CONTENT

Space And Time Requirements For Two Image Data Structures
Proceedings of SPIE (March 27 1989)
Matching of 2D region in a monocular image sequence by...
Proceedings of SPIE (August 06 1993)
Application Of Multi-Channel Hough Transform To Stereo Vision
Proceedings of SPIE (February 19 1988)
Recognizing Partially Hidden Objects
Proceedings of SPIE (January 17 1985)
Boundary-based shape normalization technique
Proceedings of SPIE (November 01 1992)

Back to Top