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» Estimating Fluid Optical Flow
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CVPR
2004
IEEE
15 years 11 months ago
Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation
Background modeling is an important component of many vision systems. Existing work in the area has mostly addressed scenes that consist of static or quasi-static structures. When...
Anurag Mittal, Nikos Paragios
CVPR
1997
IEEE
15 years 1 months ago
Model-based brightness constraints: on direct estimation of structure and motion
ÐWe describe a new direct method for estimating structure and motion from image intensities of multiple views. We extend the direct methods of Horn and Weldon [18] to three views....
Gideon P. Stein, Amnon Shashua
VMV
2004
154views Visualization» more  VMV 2004»
14 years 11 months ago
Extracting Animated Meshes with Adaptive Motion Estimation
We present an approach for extracting coherently sampled animated meshes from input sequences of incoherently sampled meshes representing a continuously evolving shape. Our approa...
Nizam Anuar, Igor Guskov
CVPR
2006
IEEE
15 years 3 months ago
Specular Flow and the Recovery of Surface Structure
In scenes containing specular objects, the image motion observed by a moving camera may be an intermixed combination of optical flow resulting from diffuse reflectance (diffuse ...
Stefan Roth, Michael J. Black
ICCV
2011
IEEE
13 years 9 months ago
Kinecting the dots: Particle Based Scene Flow from depth sensors
The motion field of a scene can be used for object segmentation and to provide features for classification tasks like action recognition. Scene flow is the full 3D motion fiel...
Simon Hadfield, Richard Bowden