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CVPR
2009
IEEE
1453views Computer Vision» more  CVPR 2009»
16 years 1 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
ECCV
2000
Springer
15 years 11 months ago
Color and Scale: The Spatial Structure of Color Images
Abstract. For grey-value images, it is well accepted that the neighborhood rather than the pixel carries the geometrical interpretation. Interestingly the spatial configuration of ...
Jan-Mark Geusebroek, Rein van den Boomgaard, Arnol...
ICIP
2006
IEEE
15 years 11 months ago
Fast Separation of Reflection Components using a Specularity-Invariant Image Representation
In this paper, we propose a fast method for separating reflection components using a single color image. We first propose a specular-free two-band image that is a specularity-inva...
Kuk-Jin Yoon, Yoojin Choi, In-So Kweon
CVPR
2012
IEEE
12 years 12 months ago
Linear solution to scale invariant global figure ground separation
We propose a novel linear method for scale invariant figure ground separation in images and videos. Figure ground separation is treated as a superpixel labeling problem. We optim...
Hao Jiang
CVPR
2012
IEEE
12 years 12 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke