Paper
6 October 1997 Object signature curve and invariant shape patches for geometric indexing into pictorial databases
Zhibin Lei, Tolga Tasdizen, David B. Cooper
Author Affiliations +
Proceedings Volume 3229, Multimedia Storage and Archiving Systems II; (1997) https://doi.org/10.1117/12.290344
Event: Voice, Video, and Data Communications, 1997, Dallas, TX, United States
Abstract
Implicit polynomials (IPs) are among the most effective representations for modeling and recognition of complex geometric shape structures because of their stability, robustness and invariant characteristics. In this paper, we describe an approach for geometric indexing into pictorial databases using IP representations. We discuss in detail a breakthrough in invariant decomposition of a complex object shape into manageable pieces or patches. The self and mutual invariants of those invariant patches can be then used as geometric indexing features vectors. The new concept of invariant signature curve for complex shapes ins developed that captures the semi-global algebraic structure of the object and has the advantage of being able to deal with multi-scale and object occlusion.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhibin Lei, Tolga Tasdizen, and David B. Cooper "Object signature curve and invariant shape patches for geometric indexing into pictorial databases", Proc. SPIE 3229, Multimedia Storage and Archiving Systems II, (6 October 1997); https://doi.org/10.1117/12.290344
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Cited by 7 scholarly publications.
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KEYWORDS
Databases

Data modeling

3D modeling

Image segmentation

Chlorine

Edge detection

Optical spheres

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