Abstract
| Original language | English |
|---|---|
| Title of host publication | Pacific-Rim Symposium on Image and Video Technology |
| Editors | Thomas Bräunl, Brendan McCane, Mariano Rivera, Xinguo Yu |
| Place of Publication | USA |
| Publisher | Springer |
| Pages | 751-761 |
| Number of pages | 11 |
| ISBN (Print) | 9783319294513 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | 7th Pacific-Rim Symposium on Image and Video Technology: PSIVT 2015 - Auckland, New Zealand Duration: 23 Nov 2015 → 27 Nov 2015 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Volume | 9431 |
Conference
| Conference | 7th Pacific-Rim Symposium on Image and Video Technology |
|---|---|
| Abbreviated title | PSIVT 2015 |
| Country | New Zealand |
| City | Auckland |
| Period | 23/11/15 → 27/11/15 |
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Binary Descriptor Based on Heat Diffusion for Non-rigid Shape Analysis. / Wang, Xupeng; Sohel, Ferdous; Bennamoun, Mohammed; Lei, Hang.
Pacific-Rim Symposium on Image and Video Technology. ed. / Thomas Bräunl; Brendan McCane; Mariano Rivera; Xinguo Yu. USA : Springer, 2016. p. 751-761 (Lecture Notes in Computer Science ; Vol. 9431).Research output: Chapter in Book/Conference paper › Conference paper
TY - GEN
T1 - Binary Descriptor Based on Heat Diffusion for Non-rigid Shape Analysis
AU - Wang, Xupeng
AU - Sohel, Ferdous
AU - Bennamoun, Mohammed
AU - Lei, Hang
PY - 2016
Y1 - 2016
N2 - 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 ‘intensity comparisons’ 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.
AB - 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 ‘intensity comparisons’ 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.
U2 - 10.1007/978-3-319-29451-3_59
DO - 10.1007/978-3-319-29451-3_59
M3 - Conference paper
SN - 9783319294513
T3 - Lecture Notes in Computer Science
SP - 751
EP - 761
BT - Pacific-Rim Symposium on Image and Video Technology
A2 - Bräunl, Thomas
A2 - McCane, Brendan
A2 - Rivera, Mariano
A2 - Yu, Xinguo
PB - Springer
CY - USA
ER -