VOLUMETRIC HEAT KERNEL SIGNA-. TURES. In order to generalize heat kernel signatures to volume, we consider the heat equation in the volume X with Neumann.
Here, we extend the idea of heat kernel signature to robust isometry-invariant volumetric descriptors, and show their utility in shape retrieval. The proposed ...
The Heat Kernel Signature, the intrinsic characterization of simulated heat diffusion in a meshed object, has been used to recognize shapes in varying non-rigid ...
A heat kernel signature (HKS) is a feature descriptor for use in deformable shape analysis and belongs to the group of spectral shape analysis methods.
Introduction. In the mathematical study of heat conduction and diffusion, the fundamental guiding equation is called the heat equation, which is a parabolic ...
Oct 25, 2010 · Here, we extend the idea of heat kernel signature to robust isometry- invariant volumetric descriptors, and show their utility in shape ...
Here we introduce a novel multi-scale heat kernel based regional shape statistical approach that may improve statistical power on the structural analysis.
Our signature, called the Heat Kernel Signature (or HKS), is obtained by restricting the well-known heat kernel to the temporal domain. Remarkably we show that ...
... Towards a Holistic Cortical Thickness Descriptor: Heat Kernel-Based Grey Matter Morphology Signatures.
Here we introduce a novel multi-scale heat kernel based regional shape statistical approach that may improve statistical power on the structural analysis.