-
Chapter and Conference Paper
Spectral Geometric Descriptor for Deformable 3D Shape Matching and Retrieval
We propose a spectral-geometric skeletal graph for nonrigid 3D shape retrieval. The skeleton is constructed from the isocontours of the second eigenfunction of the Laplace-Beltrami operator. We also introduce ...
-
Chapter and Conference Paper
An Entropy-Based Technique for Nonrigid Medical Image Alignment
In this paper, we propose a nonrigid image registration technique by minimizing an information-theoretic measure using the quasi-Newton method as an optimization scheme and a cubic B-spline for modeling the no...
-
Chapter and Conference Paper
Skeleton Path Based Approach for Nonrigid 3D Shape Analysis and Retrieval
In this paper, we propose a skeleton path based approach to analyze and retrieve nonrigid 3D shapes. The main idea is to match skeleton graphs by comparing the geodesic paths between skeleton endpoints. Our ap...
-
Chapter and Conference Paper
Retrieving Articulated 3D Objects Using Normalized Distance Function
In this paper we propose a skeletonization approach that encodes a 3D object into a skeletal Reeb graph using a normalized mixture distance function. Then, we introduce a novel graph matching algorithm by comp...
-
Chapter and Conference Paper
Geometric Mesh Denoising via Multivariate Kernel Diffusion
We present a 3D mesh denoising method based on kernel density estimation. The proposed approach is able to reduce the oversmoothing effect and effectively remove undesirable noise while preserving prominent ge...
-
Chapter and Conference Paper
Nonextensive Entropic Image Registration
We present an image registration approach by optimizing an information divergence based on the nonextensive Tsallis entopy. The optimization is carried out using a modified simultaneous perturbation stochastic...
-
Chapter and Conference Paper
MPEG Video Watermarking Using Tensor Singular Value Decomposition
In this paper, we introduce a new watermarking algorithm to embed an invisible watermark into the intra-frames of an MPEG video sequence. Unlike previous methods where each video frame is marked separately, ou...
-
Chapter and Conference Paper
Image Registration and Segmentation by Maximizing the Jensen-Rényi Divergence
Information theoretic measures provide quantitative entropic divergences between two probability distributions or data sets. In this paper, we analyze the theoretical properties of the Jensen-Rényi divergence ...
-
Chapter and Conference Paper
Geodesic Object Representation and Recognition
This paper describes a shape signature that captures the intrinsic geometric structure of 3D objects. The primary motivation of the proposed approach is to encode a 3D shape into a one-dimensional geodesic dis...
-
Chapter and Conference Paper
A Variational Approach to Maximum a Posteriori Estimation for Image Denoising
Using first principles, we establish in this paper a connection between the maximum a posteriori (MAP) estimator and the variational formulation of optimizing a given functional subject to some noise constraints....