@inproceedings{b05b68e4886f4eb3a6bf7fe3c94166b3,
title = "Binary Descriptor Based on Heat Diffusion for Non-rigid Shape Analysis",
abstract = "This paper presents an efficient feature point descriptor for non-rigid shape analysis. The descriptor is developed based on the properties of the heat diffusion process on a shape. We use, for the first time, the Heat Kernel Signature of a particular time scale to define the scalar field on a manifold. Then, motivated by the successful use of a local reference frame for rigid shape analysis, we construct a repetitive local polar coordinate system, which is invariant under isometric deformations. Finally, a binary descriptor is derived by comparing the intensities of the neighboring points for each feature point. We show that the descriptor is highly discriminative and can be computed simply using {\textquoteleft}intensity comparisons{\textquoteright} on a shape. Furthermore, its similarity can be evaluated using the Hamming distance, which is very efficient to compute compared with the commonly used L2L2 norm. Our experiments demonstrate a superior performance compared to existing techniques on the standard benchmark TOSCA.",
author = "Xupeng Wang and Ferdous Sohel and Mohammed Bennamoun and Hang Lei",
year = "2016",
doi = "10.1007/978-3-319-29451-3_59",
language = "English",
isbn = "9783319294506",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "751--761",
editor = "Br{\"a}unl, {Thomas } and McCane, {Brendan } and Rivera, {Mariano } and Yu, {Xinguo }",
booktitle = "Pacific-Rim Symposium on Image and Video Technology",
address = "Netherlands",
note = "7th Pacific-Rim Symposium on Image and Video Technology : PSIVT 2015, PSIVT 2015 ; Conference date: 23-11-2015 Through 27-11-2015",
}