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ICCV
2011
IEEE
8 years 3 days ago
Kernel Non-Rigid Structure from Motion
Non-rigid structure from motion (NRSFM) is a difficult, underconstrained problem in computer vision. The standard approach in NRSFM constrains 3D shape deformation using a linear...
Paulo F. U. Gotardo, Aleix M. Martinez
PAMI
2008
215views more  PAMI 2008»
9 years 1 days ago
Evaluating Shape Correspondence for Statistical Shape Analysis: A Benchmark Study
This paper introduces a new benchmark study to evaluate the performance of landmark-based shape correspondence used for statistical shape analysis. Different from previous shape-co...
Brent C. Munsell, Pahal Dalal, Song Wang
CGF
2010
144views more  CGF 2010»
9 years 6 days ago
Dynamic Multi-View Exploration of Shape Spaces
Statistical shape modeling is a widely used technique for the representation and analysis of the shapes and shape variations present in a population. A statistical shape model mod...
Stef Busking, Charl P. Botha, Frits H. Post
BMVC
2000
9 years 1 months ago
Building Temporal Models for Gesture Recognition
This work presents a piecewise linear approximation to non-linear Point Distribution Models for modelling the human hand. The work utilises the natural segmentation of shape space...
Richard Bowden, Mansoor Sarhadi
CCCG
2008
9 years 1 months ago
Isometric Morphing of Triangular Meshes
We present a novel approach to morph between two isometric poses of the same non-rigid object given as triangular meshes. We model the morphs as linear interpolations in a suitabl...
Prosenjit Bose, Joseph O'Rourke, Chang Shu, Stefan...
PG
1998
IEEE
9 years 4 months ago
Shape Space from Deformation
The construction of shape spaces is studied from a mathematical and a computational viewpoint. A program is outlined reducing the problem to four tasks: the representation of geom...
Ho-Lun Cheng, Herbert Edelsbrunner, Ping Fu
ICIP
2003
IEEE
9 years 5 months ago
Automatic object detection using shape information in ultrasound images
A method is presented for segmentation of anatomical structures that incorporates prior information about shape. The method iteratively applies steps which find object’s border ...
Pablo Cancela, Fernando Reyes, Pablo Rodríg...
CVPR
2005
IEEE
9 years 5 months ago
A Measure of Deformability of Shapes, with Applications to Human Motion Analysis
In this paper we develop a theory for characterizing how deformable a shape is. We define a term called “deformability index” for shapes. The deformability index is computed ...
Amit K. Roy Chowdhury
ISBI
2009
IEEE
9 years 7 months ago
Instance-Based Generative Biological Shape Modeling
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
Tao Peng, Wei Wang, Gustavo K. Rohde, Robert F. Mu...
ICIP
2006
IEEE
10 years 1 months ago
Shape-Based Image Segmentation Using Normalized Cuts
To segment a whole object from an image is an essential and challenging task in image processing. In this paper, we propose a hybrid segmentation algorithm which combines prior sh...
Wenchao Cai, Jue Wu, Albert C. S. Chung
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