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» Learning Dynamics of Complex Motions from Image Sequences
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ICIP
2004
IEEE
16 years 5 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
ICCV
2009
IEEE
16 years 6 months ago
Complete Multi-View Reconstruction of Dynamic Scenes from Probabilistic Fusion of Narrow and Wide Baseline Stereo
This paper presents a novel approach to achieve accurate and complete multi-view reconstruction of dynamic scenes (or 3D videos). 3D videos consist in sequences of 3D models in mot...
Tony Tung, Shohei Nobuhara, Takashi Matsuyama
ICIP
2001
IEEE
16 years 5 months ago
Robust estimation of depth and motion using stochastic approximation
The problemof structurefrom motion (SFM)is to extract the three-dimensionalmodel of a moving scene from a sequence of images. Though two images are sufficient to produce a 3D reco...
Rama Chellappa, Amit K. Roy Chowdhury
CVPR
2004
IEEE
16 years 6 months ago
Detection and Removal of Rain from Videos
The visual effects of rain are complex. Rain consists of spatially distributed drops falling at high velocities. Each drop refracts and reflects the environment, producing sharp i...
Kshitiz Garg, Shree K. Nayar
RT
1997
Springer
15 years 8 months ago
Nailboards: A Rendering Primitive for Image Caching in Dynamic Scenes
Abstract. This paper proposes a simple augmentation to texture mapping hardware which produces the correct depth buffer content and hence correct visibility when replacing complex ...
Gernot Schaufler