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» Markov Random Field Modeling in Computer Vision
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CVPR
2009
IEEE
15 years 4 months ago
Manhattan-world Stereo
Multi-view stereo (MVS) algorithms now produce reconstructions that rival laser range scanner accuracy. However, stereo algorithms require textured surfaces, and therefore work ...
Brian Curless, Richard Szeliski, Steven M. Seitz, ...
ACCV
2009
Springer
14 years 3 months ago
Weighted Map for Reflectance and Shading Separation Using a Single Image
In real world, a scene is composed by many characteristics. Intrinsic images represent these characteristics by two components, reflectance (the albedo of each point) and shading (...
Sung-Hsien Hsieh, Chih-Wei Fang, Te-Hsun Wang, Chi...
ESANN
2008
13 years 10 months ago
Computationally Efficient Neural Field Dynamics
We propose a modification of the dynamic neural field model of Amari [1], aiming at reducing the simulation effort by employing spaceand frequency representations of the dynamic st...
Alexander Gepperth, Jannik Fritsch, Christian Goer...
MVA
2010
206views Computer Vision» more  MVA 2010»
13 years 3 months ago
Estimating the motion of plant root cells from in vivo confocal laser scanning microscopy images
Images of cellular structures in growing plant roots acquired using confocal laser scanning microscopy (CLSM) have some unusual properties that make motion estimation challenging....
Timothy J. Roberts, Stephen J. McKenna, Cheng-Jin ...
ICCV
2009
IEEE
15 years 2 months ago
Piecewise Planar Stereo for Image-based Rendering
We present a novel multi-view stereo method designed for image-based rendering that generates piecewise planar depth maps from an unordered collection of photographs. First a di...
Sudipta N. Sinha, Drew Steedly and Richard Szelisk...