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» Extraction of semantic objects from still images
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CVPR
2007
IEEE
14 years 11 months ago
Hybrid learning of large jigsaws
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
Julia A. Lasserre, Anitha Kannan, John M. Winn
CVBIA
2005
Springer
14 years 2 months ago
A New Coarse-to-Fine Framework for 3D Brain MR Image Registration
Registration, that is, the alignment of multiple images, has been one of the most challenging problems in the field of computer vision. It also serves as an important role in biome...
Terrence Chen, Thomas S. Huang, Wotao Yin, Xiang S...
TIP
2010
312views more  TIP 2010»
13 years 7 months ago
A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression
—Salient areas in natural scenes are generally regarded as areas which the human eye will typically focus on, and finding these areas is the key step in object detection. In com...
Chenlei Guo, Liming Zhang
PR
2007
101views more  PR 2007»
13 years 8 months ago
Use of power law models in detecting region of interest
In this paper, we shall address the issue of semantic extraction of different regions of interest. The proposed approach is based on statistical methods and models inspired from l...
Yves Caron, Pascal Makris, Nicole Vincent
ICIP
2005
IEEE
14 years 10 months ago
Robust tracking with motion estimation and kernel-based color modelling
Visual tracking is still a challenging problem in computer vision. The applications of Visual Tracking are far-reaching, ranging from surveillance and monitoring to smart rooms. I...
Patrick Bouthemy, Patrick Pérez, R. Venkate...