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IJCV
2010
184views more  IJCV 2010»
13 years 6 months ago
A 3D Shape Retrieval Framework Supporting Multimodal Queries
This paper presents a unified framework for 3D shape retrieval. The method supports multimodal queries (2D images, sketches, 3D objects) by introducing a novel view-based approach...
Petros Daras, Apostolos Axenopoulos
CGF
2005
252views more  CGF 2005»
13 years 7 months ago
Support Vector Machines for 3D Shape Processing
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Florian Steinke, Bernhard Schölkopf, Volker B...
PAMI
2006
188views more  PAMI 2006»
13 years 7 months ago
Recovering 3D Human Body Configurations Using Shape Contexts
The problem we consider in this paper is to take a single two-dimensional image containing a human figure, locate the joint positions, and use these to estimate the body configura...
Greg Mori, Jitendra Malik
ICCV
2001
IEEE
14 years 9 months ago
3D Object Tracking Using Shape-Encoded Particle Propagation
We present a comprehensive treatment of 3D object tracking by posing it as a nonlinear state estimation problem. The measurements are derived using the outputs of shape-encoded fi...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
TITB
2002
172views more  TITB 2002»
13 years 7 months ago
Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review
The class of geometric deformable models, also known as level sets, has brought tremendous impact to medical imagery due to its capability of topology preservation and fast shape r...
Jasjit S. Suri, Kecheng Liu, Sameer Singh, Swamy L...