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» Deformation-Driven Shape Correspondence
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CAV
2012
Springer
231views Hardware» more  CAV 2012»
11 years 10 months ago
Incremental, Inductive CTL Model Checking
A SAT-based incremental, inductive algorithm for model checking CTL properties is proposed. As in classic CTL model checking, the parse graph of the property shapes the analysis. H...
Zyad Hassan, Aaron R. Bradley, Fabio Somenzi
CVPR
2012
IEEE
11 years 10 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
ECCV
2006
Springer
14 years 9 months ago
Retexturing Single Views Using Texture and Shading
We present a method for retexturing non-rigid objects from a single viewpoint. Without reconstructing 3D geometry, we create realistic video with shape cues at two scales. At a coa...
Ryan White, David A. Forsyth
MICCAI
2001
Springer
14 years 4 days ago
Automatic Construction of 3D Statistical Deformation Models Using Non-rigid Registration
Abstract. In this paper we introduce the concept of statistical deformation models (SDM) which allow the construction of average models of the anatomy and their variability. SDMs a...
Daniel Rueckert, Alejandro F. Frangi, Julia A. Sch...
CVPR
2009
IEEE
1517views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Linear Solution to Scale and Rotation Invariant Object Matching
Images of an object undergoing ego- or camera- motion often appear to be scaled, rotated, and deformed versions of each other. To detect and match such distorted patterns to a s...
Hao Jiang, Stella X. Yu