Paper
30 May 2000 Review of 3D object representation techniques for automatic object recognition
George Jure Mamic, Mohammed Bennamoun
Author Affiliations +
Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386708
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia
Abstract
We present a critical review of the representation available for model-based object recognition. The choice of representation has a direct impact on the ability of the system to match objects, particularly in environments where noise or occlusion are presented. This review provides a set of criteria for object representation in recognition systems and this forms the basis upon which a qualitative critical review has been formulated. Initially well established techniques for object representation are reviewed. In particular object centered representations and viewer centered representations are addressed. The primary issue which afflicts these representations is the domain of objects which they can effectively represent. Free-form representations, which overcome this problem, are also examined. In particular, parametric representations including splines, implicit algebraic surfaces and finite element techniques, and geometric models which are based on differential geometry are considered. Ultimately, only representations, which possess an elegant blend of efficiency, accuracy and large representational domain are successful in providing a recognition system with the information required to achieve the level of scene understanding required in modern computer vision.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
George Jure Mamic and Mohammed Bennamoun "Review of 3D object representation techniques for automatic object recognition", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386708
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KEYWORDS
Object recognition

Systems modeling

Image segmentation

3D modeling

Optical spheres

Data modeling

Computer vision technology

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