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» A Generative Model Based Approach to Motion Segmentation
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GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 12 days ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
ICMCS
2008
IEEE
193views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Video coding with spatio-temporal texture synthesis and edge-based inpainting
This paper proposes a video coding scheme, in which textural and structural regions are selectively removed in the encoder, and restored in the decoder by spatio-temporal texture ...
Chunbo Zhu, Xiaoyan Sun, Feng Wu, Houqiang Li
MICCAI
2005
Springer
14 years 8 months ago
2D and 3D Shape Based Segmentation Using Deformable Models
A novel shape based segmentation approach is proposed by modifying the external energy component of a deformable model. The proposed external energy component depends not only on t...
Ayman El-Baz, Seniha Esen Yuksel, Hongjian Shi, Al...
CGF
2000
96views more  CGF 2000»
13 years 7 months ago
Realistic collision avoidance of upper limbs based on neuroscience models
When articulated figures interact in a 3D environment, collisions are highly likely and must often be avoided. We present a method automatically producing realistic collision-free...
Jean-Christophe Nebel
ICIP
2005
IEEE
14 years 1 months ago
HMM-based motion recognition system using segmented PCA
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
Faisal I. Bashir, Wei Qu, Ashfaq A. Khokhar, Dan S...