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» Generation of Semantic Regions from Image Sequences
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CRV
2008
IEEE
295views Robotics» more  CRV 2008»
16 years 23 days ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic
ICIP
2001
IEEE
16 years 7 months ago
Optical flow estimation using high frame rate sequences
Gradient-based optical flow estimation methods such as LucasKanade method work well for scenes with small displacements but fail when objects move with large displacements. Hierar...
SukHwan Lim, Abbas El Gamal
MICCAI
2010
Springer
15 years 4 months ago
Joint Generative Model for fMRI/DWI and Its Application to Population Studies
Abstract. We propose a novel probabilistic framework to merge information from DWI tractography and resting-state fMRI correlations. In particular, we model the interaction of late...
Archana Venkataraman, Yogesh Rathi, Marek Kubicki,...
DGCI
2000
Springer
15 years 10 months ago
Deformable Modeling for Characterizing Biomedical Shape Changes
Abstract. We present a new algorithm for modeling and characterizing shape changes in 3D image sequences of biomedical structures. Our algorithm tracks the shape changes of the obj...
Matthieu Ferrant, Benoit M. Macq, Arya Nabavi, Sim...
SG
2010
Springer
15 years 11 months ago
Automatic Blending of Multiple Perspective Views for Aesthetic Composition
Hand-drawn pictures differ from ordinary perspective images in that the entire scene is composed of local feature regions each of which is projected individually as seen from its ...
Kairi Mashio, Kenichi Yoshida, Shigeo Takahashi, M...