Scale-Invariant Heat Kernel Mapping

Abstract

In shape analysis, scaling factors have a great influence on the results of non-rigid shape retrieval and comparison. In order to eliminate the scale ambiguity in shape acquisition and other cases, a method with scale-invariant property is required for shape analysis. The mapping method previously proposed only preserves geodesic distances between pair wise… (More)
DOI: 10.1109/CW.2014.24

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Cite this paper

@article{Wang2014ScaleInvariantHK, title={Scale-Invariant Heat Kernel Mapping}, author={Kang Wang and Zhongke Wu and Pengfei Xu and Junli Zhao and Taorui Jia and Wuyang Shui and Sajid Ali and Mingquan Zhou}, journal={2014 International Conference on Cyberworlds}, year={2014}, pages={114-121} }