Abstract
Shape matching of 3D digital objects is an important domain of study from topological as well as geometric point of view. Shape matching of two or more digital objects by an efficient segmentation based method is reported in this paper. The method receives input objects after segmentation of their articulated components and exploits the topological relation between the articulated components and the central section of the objects for shape matching. The method involves simple calculations and is primarily based on the extent of articulations in the objects. The accuracy of shape matching is dependent on the object size and segmentation of the object and is invariant to rotation. Experimental results are provided to demonstrate the structural similarity in various digital objects.
Cite
CITATION STYLE
Karmakar, N., & Biswas, A. (2016). Shape matching of 3D topologically segmented objects. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9667, pp. 170–179). Springer Verlag. https://doi.org/10.1007/978-3-319-39441-1_16
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