TY - GEN
T1 - The wave kernel signature
T2 - 2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011
AU - Aubry, Mathieu
AU - Schlickewei, Ulrich
AU - Cremers, Daniel
PY - 2011
Y1 - 2011
N2 - We introduce the Wave Kernel Signature (WKS) for characterizing points on non-rigid three-dimensional shapes. The WKS represents the average probability of measuring a quantum mechanical particle at a specific location. By letting vary the energy of the particle, the WKS encodes and separates information from various different Laplace eigenfrequencies. This clear scale separation makes the WKS well suited for a large variety of applications. Both theoretically and in quantitative experiments we demonstrate that the WKS is substantially more discriminative and therefore allows for better feature matching than the commonly used Heat Kernel Signature (HKS). As an application of the WKS in shape analysis we show results on shape matching.
AB - We introduce the Wave Kernel Signature (WKS) for characterizing points on non-rigid three-dimensional shapes. The WKS represents the average probability of measuring a quantum mechanical particle at a specific location. By letting vary the energy of the particle, the WKS encodes and separates information from various different Laplace eigenfrequencies. This clear scale separation makes the WKS well suited for a large variety of applications. Both theoretically and in quantitative experiments we demonstrate that the WKS is substantially more discriminative and therefore allows for better feature matching than the commonly used Heat Kernel Signature (HKS). As an application of the WKS in shape analysis we show results on shape matching.
UR - http://www.scopus.com/inward/record.url?scp=84856637531&partnerID=8YFLogxK
U2 - 10.1109/ICCVW.2011.6130444
DO - 10.1109/ICCVW.2011.6130444
M3 - Conference contribution
AN - SCOPUS:84856637531
SN - 9781467300629
T3 - Proceedings of the IEEE International Conference on Computer Vision
SP - 1626
EP - 1633
BT - 2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011
Y2 - 6 November 2011 through 13 November 2011
ER -