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» Deformable Grid in Image Recognition
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CVPR
2003
IEEE
16 years 1 months ago
Practical Non-parametric Density Estimation on a Transformation Group for Vision
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. I...
Erik G. Miller, Christophe Chefd'Hotel
CVPR
2005
IEEE
16 years 1 months ago
Shape Matching and Object Recognition Using Low Distortion Correspondences
We approach recognition in the framework of deformable shape matching, relying on a new algorithm for finding correspondences between feature points. This algorithm sets up corres...
Alexander C. Berg, Tamara L. Berg, Jitendra Malik
JWSCG
2011
256views more  JWSCG 2011»
14 years 2 months ago
Accurate Real-Time Multi-Camera Stereo-Matching on the GPU for 3D Reconstruction
Using multi-camera matching techniques for 3d reconstruction there is usually the trade-off between the quality of the computed depth map and the speed of the computations. Wherea...
Klaus Denker, Georg Umlauf
CVPR
2011
IEEE
14 years 7 months ago
Object Cosegmentation
Cosegmentation is typically defined as the task of jointly segmenting “something similar” in a given set of images. Existing methods are too generic and so far have not demon...
Sara Vicente, Carsten Rother, Vladimir Kolmogorov
CVPR
2012
IEEE
13 years 2 months ago
Unsupervised co-segmentation through region matching
Co-segmentation is defined as jointly partitioning multiple images depicting the same or similar object, into foreground and background. Our method consists of a multiplescale mu...
José C. Rubio, Joan Serrat, Antonio M. L&oa...