Paper
3 October 1995 Shape matching using optimization
S. Hossein Cheraghi, Huey S. Lim
Author Affiliations +
Abstract
In this paper an optimization approach to shape matching and recognition is presented. The approach is applicable to convex polygonal shapes but its modified model can also be applied to non-convex polygonal shapes. The shape matching and recognition problem is formulated as a nonlinear optimization problem with a linear objective function and nonlinear constraints. The approach is invariant to scale, translation and rotation.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. Hossein Cheraghi and Huey S. Lim "Shape matching using optimization", Proc. SPIE 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, (3 October 1995); https://doi.org/10.1117/12.222660
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Computer programming

Computer programming languages

Inspection

Machine vision

Manufacturing

Object recognition

Optimization (mathematics)

RELATED CONTENT

Algorithmic synthesis using Python compiler
Proceedings of SPIE (September 11 2015)
RPython high-level synthesis
Proceedings of SPIE (September 28 2016)
Color model for fruit quality inspection with machine vision
Proceedings of SPIE (November 08 2005)
Recognition Of Complex Graphical Objects
Proceedings of SPIE (March 02 1989)
Modeling safety requirements of an FMS using Petri-nets
Proceedings of SPIE (August 06 1993)
Machine vision inspection of fluorescent lamps
Proceedings of SPIE (March 01 1991)

Back to Top