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ICPR
2002
IEEE
16 years 27 days ago
Face Detection and Synthesis Using Markov Random Field Models
Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray level intensities for images of human faces. These models are trained usi...
Sarat C. Dass, Anil K. Jain, Xiaoguang Lu
ICSEA
2009
IEEE
15 years 6 months ago
Testing of Image Processing Algorithms on Synthetic Data
—In this paper, it is shown that synthetic images can be used to test specific use cases of a lane tracking algorithm which has been developed by Audi AG. This was achieved by s...
Kilian von Neumann-Cosel, Erwin Roth, Daniel Lehma...
CVPR
2006
IEEE
16 years 1 months ago
Robust AAM Fitting by Fusion of Images and Disparity Data
Active Appearance Models (AAMs) have been popularly used to represent the appearance and shape variations of human faces. Fitting an AAM to images recovers the face pose as well a...
Joerg Liebelt, Jing Xiao, Jie Yang
ICIP
2004
IEEE
16 years 1 months ago
Minimizing a weighted error criterion for spatial error concealment of missing image data
In this contribution we present an algorithm for spatial error concealment of lost image data caused by transmission of images in error prone environments. The surrounding correct...
André Kaup, Katrin Meisinger
ICCV
2011
IEEE
13 years 11 months ago
Learning Cross-modality Similarity for Multinomial Data
Many applications involve multiple-modalities such as text and images that describe the problem of interest. In order to leverage the information present in all the modalities, on...
Yangqing Jia, Mathieu Salzmann, Trevor Darrell