TY - JOUR
T1 - Geometric and Photometric Data Fusion in Non-Rigid Shape Analysis
AU - Artiom Kovnatsky, Dan Raviv, Michael M. Bronstein, Alexander M. Bronstein & Ron Kimmel
JO - Numerical Mathematics: Theory, Methods and Applications
VL - 1
SP - 199
EP - 222
PY - 2013
DA - 2013/06
SN - 6
DO - http://doi.org/10.4208/nmtma.2013.mssvm11
UR - https://global-sci.org/intro/article_detail/nmtma/5900.html
KW - Laplace-Beltrami operator, diffusion equation, heat kernel descriptors, 3D shape retrieval, deformation invariance.
AB - <p style="text-align: justify;">In this paper, we explore the use of the diffusion geometry framework for the
fusion of geometric and photometric information in local and global shape descriptors.
Our construction is based on the definition of a diffusion process on the shape
manifold embedded into a high-dimensional space where the embedding coordinates
represent the photometric information.
Experimental results show that such data fusion is useful in coping with different
challenges of shape analysis where pure geometric and pure photometric methods fail.</p>