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» Markov Random Field Modeling in Computer Vision
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CVPR
2009
IEEE
1453views Computer Vision» more  CVPR 2009»
15 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
2002
Springer
14 years 11 months ago
Assorted Pixels: Multi-sampled Imaging with Structural Models
Abstract. Multi-sampled imaging is a general framework for using pixels on an image detector to simultaneously sample multiple dimensions of imaging (space, time, spectrum, brightn...
Shree K. Nayar, Srinivasa G. Narasimhan
ECCV
2006
Springer
14 years 22 days ago
Tracking of Multiple Objects Using Optical Flow Based Multiscale Elastic Matching
Abstract. A novel hybrid region-based and contour-based multiple object tracking model using optical flow based elastic matching is proposed. The proposed elastic matching model is...
Xingzhi Luo, Suchendra M. Bhandarkar
ECCV
2002
Springer
14 years 11 months ago
Hierarchical Shape Modeling for Automatic Face Localization
Many approaches have been proposed to locate faces in an image. There are, however, two problems in previous facial shape models using feature points. First, the dimension of the s...
Ce Liu, Heung-Yeung Shum, Changshui Zhang
ECCV
2008
Springer
14 years 11 months ago
Facial Expression Recognition Based on 3D Dynamic Range Model Sequences
Traditionally, facial expression recognition (FER) issues have been studied mostly based on modalities of 2D images, 2D videos, and 3D static models. In this paper, we propose a sp...
Yi Sun, Lijun Yin