Shape Representation and Matching of 3D Objects for Computer Vision Applications
نویسندگان
چکیده
-In this paper we present a novel approach to 3D shape representation and matching based on the combination of the Hilbert space filling curve and Wavelet analysis. Our objective is to introduce a robust technique that capitalizes on the localization-preserving nature of the Hilbert space filling curve and the approximation capabilities of the Wavelet transform. Our technique produces a concise 1D representation of the image that can be used to search an image database for a match. The technique exhibits robustness in cases of partial and occluded image matching. Our technique is translation, scale, and stretching invariant. It is also robust to rotation around the Y axis. Key-Words: -3D Shape representation, Shape matching, Hilbert curve, Wavelet transform, Grey level
منابع مشابه
Statistical/Geometric Techniques for Object Representation and Recognition
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