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» Recovering Occlusion Boundaries from a Single Image
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CVIU
2004
115views more  CVIU 2004»
13 years 7 months ago
Dynamic learning from multiple examples for semantic object segmentation and search
We present a novel ``dynamic learning'' approach for an intelligent image database system to automatically improve object segmentation and labeling without user interven...
Yaowu Xu, Eli Saber, A. Murat Tekalp
CVPR
2008
IEEE
14 years 9 months ago
Edge descriptors for robust wide-baseline correspondence
This paper describes a method for finding wide-baseline correspondences between images at locations along gradient edges. We find edges in scale space using established methods an...
Jason Meltzer, Stefano Soatto
ICIP
2004
IEEE
14 years 9 months ago
Single-frame text super-resolution: a bayesian approach
We address the problem of text super-resolution: given a single image of text scanned in at low resolution from a piece of paper, return the image that is mostly likely to be gene...
Gerald Dalley, William T. Freeman, Joe Marks
CVIU
2006
110views more  CVIU 2006»
13 years 7 months ago
Simultaneous tracking of multiple body parts of interacting persons
This paper presents a framework to simultaneously segment and track multiple body parts of interacting humans in the presence of mutual occlusion and shadow. The framework uses mu...
Sangho Park, Jake K. Aggarwal
AVSS
2006
IEEE
14 years 1 months ago
Dissecting the Image of the Absolute Conic
In this paper, we revisit the role of the image of the absolute conic (IAC) in recovering the camera geometry. We derive new constraints on IAC that advance our understanding of i...
Imran N. Junejo, Hassan Foroosh