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» New Features to Identify Computer Generated Images
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CVPR
2008
IEEE
16 years 6 months ago
Edge preserving spatially varying mixtures for image segmentation
A new hierarchical Bayesian model is proposed for image segmentation based on Gaussian mixture models (GMM) with a prior enforcing spatial smoothness. According to this prior, the...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. Ga...
109
Voted
ISVC
2009
Springer
15 years 10 months ago
A Bag of Features Approach for 3D Shape Retrieval
In this paper, we present an adaptation the Bag of Features (BoF) concept to 3D shape retrieval problems. The BoF approach has recently become one of the most popular methods in 2D...
Janis Fehr, Alexander Streicher, Hans Burkhardt
ICCV
2003
IEEE
16 years 6 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
150
Voted
ICCV
2011
IEEE
14 years 4 months ago
Center-surround Divergence of Feature Statistics for Salient Object Detection
In this paper, we introduce a new method to detect salient objects in images. The approach is based on the standard structure of cognitive visual attention models, but realizes th...
Dominik A. Klein, Simone Frintrop
CVPR
2012
IEEE
13 years 6 months ago
Detecting texts of arbitrary orientations in natural images
With the increasing popularity of practical vision systems and smart phones, text detection in natural scenes becomes a critical yet challenging task. Most existing methods have f...
Cong Yao, Xiang Bai, Wenyu Liu, Yi Ma, Zhuowen Tu