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NIPS
2004
13 years 10 months ago
Common-Frame Model for Object Recognition
A generative probabilistic model for objects in images is presented. An object consists of a constellation of features. Feature appearance and pose are modeled probabilistically. ...
Pierre Moreels, Pietro Perona
ICMCS
2006
IEEE
113views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Steganalysis based on Markov Model of Thresholded Prediction-Error Image
A steganalysis system based on 2-D Markov chain of thresholded prediction-error image is proposed in this paper. Image pixels are predicted with their neighboring pixels, and the ...
Dekun Zou, Yun Q. Shi, Wei Su, Guorong Xuan
SSD
1999
Springer
197views Database» more  SSD 1999»
14 years 29 days ago
3D Shape Histograms for Similarity Search and Classification in Spatial Databases
Classification is one of the basic tasks of data mining in modern database applications including molecular biology, astronomy, mechanical engineering, medical imaging or meteorolo...
Mihael Ankerst, Gabi Kastenmüller, Hans-Peter...
JMM2
2006
145views more  JMM2 2006»
13 years 8 months ago
Improved Active Shape Model for Facial Feature Extraction in Color Images
In this paper we present an improved Active Shape Model (ASM) for facial features extraction. The original ASM developed by Cootes et al. [1] suffers from factors such as, poor mod...
Mohammad H. Mahoor, Mohamed Abdel-Mottaleb, A-Nass...
CVPR
2009
IEEE
14 years 3 months ago
Random walks on graphs to model saliency in images
We formulate the problem of salient region detection in images as Markov random walks performed on images represented as graphs. While the global properties of the image are extra...
Viswanath Gopalakrishnan, Yiqun Hu, Deepu Rajan