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» Learning Object Shape: From Drawings to Images
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PAMI
2008
270views more  PAMI 2008»
15 years 6 months ago
Randomized Clustering Forests for Image Classification
This paper introduces three new contributions to the problems of image classification and image search. First, we propose a new image patch quantization algorithm. Other competitiv...
Frank Moosmann, Eric Nowak, Frédéric...
ICIP
2005
IEEE
16 years 8 months ago
A dynamic Bezier curve model
Bezier curves (BC) are fundamental to a wide range of applications from computer-aided design through to object shape descriptions and surface mapping. Since BC only consider glob...
Ferdous Ahmed Sohel, Laurence S. Dooley, Gour C. K...
TOG
2008
98views more  TOG 2008»
15 years 6 months ago
Upright orientation of man-made objects
Humans usually associate an upright orientation with objects, placing them in a way that they are most commonly seen in our surroundings. While it is an open challenge to recover ...
Hongbo Fu, Daniel Cohen-Or, Gideon Dror, Alla Shef...
PAMI
2006
178views more  PAMI 2006»
15 years 6 months ago
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
Jakob J. Verbeek
ECCV
2008
Springer
16 years 8 months ago
Learning Two-View Stereo Matching
We propose a graph-based semi-supervised symmetric matching framework that performs dense matching between two uncalibrated wide-baseline images by exploiting the results of sparse...
Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Q...