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» Random Walks for Image Segmentation
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WACV
2007
IEEE
15 years 8 months ago
Extraction of Person Silhouettes from Surveillance Imagery using MRFs
We present a method for the simultaneous detection and segmentation of objects from static images. We employ lowlevel contour features that enable us to learn the coarse object sh...
Vinay Sharma, James W. Davis
80
Voted
PAMI
2006
81views more  PAMI 2006»
15 years 1 months ago
Robust and Accurate Vectorization of Line Drawings
This paper presents a method for vectorizing the graphical parts of paper-based line drawings. The method consists of separating the input binary image into layers of homogeneous t...
Xavier Hilaire, Karl Tombre
NIPS
2004
15 years 3 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
CVPR
2008
IEEE
16 years 3 months ago
Randomized trees for human pose detection
This paper addresses human pose recognition from video sequences by formulating it as a classification problem. Unlike much previous work we do not make any assumptions on the ava...
Grégory Rogez, Jonathan Rihan, Srikumar Ram...
134
Voted
TIP
2002
134views more  TIP 2002»
15 years 1 months ago
Curvature of n-dimensional space curves in grey-value images
Local curvature represents an important shape parameter of space curves which are well described by differential geometry. We have developed an estimator for local curvature of spa...
Bernd Rieger, Lucas J. van Vliet