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CVPR
2012
IEEE
11 years 9 months ago
A learning-based framework for depth ordering
Depth ordering is instrumental for understanding the 3D geometry of an image. We as humans are surprisingly good ordering even with abstract 2D line drawings. In this paper we pro...
Zhaoyin Jia, Andrew C. Gallagher, Yao-Jen Chang, T...
ICCV
2011
IEEE
12 years 7 months ago
Object Detection and Segmentation from Joint Embedding of Parts and Pixels
We present a new framework in which image segmentation, figure/ground organization, and object detection all appear as the result of solving a single grouping problem. This frame...
Michael Maire, Stella X. Yu, Pietro Perona
CVPR
2010
IEEE
14 years 3 months ago
On Detection of Multiple Object Instances using Hough Transforms
To detect multiple objects of interest, the methods based on Hough transform use non-maxima supression or mode seeking in order to locate and to distinguish peaks in Hough images....
Olga Barinova, Victor Lempitsky, Pushmeet Kohli
ICPR
2008
IEEE
14 years 1 months ago
Adaptive semantic Bayesian framework for image attention
Image attention is the basic technique for many computer vision applications. In this paper, we propose an adaptive Bayesian framework to detect the image attention in color image...
Wei Zhang, Q. M. Jonathan Wu, Guanghui Wang
IJCV
2006
129views more  IJCV 2006»
13 years 7 months ago
An a contrario Decision Framework for Region-Based Motion Detection
The aim of motion detection is to decide whether a given part of an image belongs to a moving object or to the static background. This paper proposes an automatic decision rule for...
Thomas Veit, Frédéric Cao, Patrick B...