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CVPR
2012
IEEE
13 years 3 months ago
A learning-based framework for depth ordering
Depth ordering is instrumental for understanding the 3D geometry of an image. We as humans are surprisingly good ordering even with abstract 2D line drawings. In this paper we pro...
Zhaoyin Jia, Andrew C. Gallagher, Yao-Jen Chang, T...
CVPR
2009
IEEE
1453views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Learning Photometric Invariance From Diversified Color Model Ensembles
Color is a powerful visual cue for many computer vision applications such as image segmentation and object recognition. However, most of the existing color models depend on the i...
Jose M. Alvarez, Theo Gevers, Antonio M. Lopez
CVPR
2004
IEEE
16 years 2 months ago
MetaMorphs: Deformable Shape and Texture Models
We present a new class of deformable models, MetaMorphs, whose formulation integrates both shape and interior texture. The model deformations are derived from both boundary and re...
Xiaolei Huang, Dimitris N. Metaxas, Ting Chen
CVPR
2008
IEEE
16 years 2 months ago
Auto-context and its application to high-level vision tasks
The notion of using context information for solving highlevel vision problems has been increasingly realized in the field. However, how to learn an effective and efficient context...
Zhuowen Tu
ECCV
2004
Springer
16 years 2 months ago
Stereo Using Monocular Cues within the Tensor Voting Framework
We address the fundamental problem of matching in two static images. The remaining challenges are related to occlusion and lack of texture. Our approach addresses these difficultie...
Philippos Mordohai, Gérard G. Medioni