Abstract
In this paper we present a novel approach to 3D shape representation and matching utilizing a set of shape representations for 2D views of the object. The proposed technique capitalizes on the localizationpreserving nature of the Hubert space filling curve and the approximation capabilities of the Wavelet transform. Each 2D view of the object is represented by a concise ID representation that can be used to search an image database for a match. The shape of the 3D image is represented by the set of ID representations of its 2D views. Experimental results, on a subset of the Amsterdam Library of Object Images (ALOI) dataset, are provided. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Ebrahim, Y., Ahmed, M., Chau, S. C., & Abdelsalam, W. (2007). A view-based 3D object shape representation technique. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4633 LNCS, pp. 411–422). Springer Verlag. https://doi.org/10.1007/978-3-540-74260-9_37
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