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» Graph-Theoretical Methods in Computer Vision
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CVPR
2012
IEEE
13 years 4 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
121
Voted
ACIVS
2005
Springer
15 years 8 months ago
Image Registration Using Uncertainty Transformations
Abstract. In this work we introduce a new technique for a frequently encountered problem in computer vision: image registration. The registration is computed by matching features, ...
Kristof Teelen, Peter Veelaert
ICIP
2004
IEEE
16 years 4 months ago
Multi-camera correspondence based on principal axis of human body
Multi-camera correspondence of moving people is a relatively new issue in computer vision. To cope with it, we propose a simple but effective method based on the principal axis of...
Min Hu, Jianguang Lou, Weiming Hu, Tieniu Tan
112
Voted
CVPR
2010
IEEE
15 years 10 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
116
Voted
CVPR
1996
IEEE
16 years 4 months ago
Video Browsing Using Edges and Motion
Automatic video browsing requires algorithms for detecting a variety of events, including production effects (e.g., scene breaks and captions) and moving objects. We present new m...
Ramin Zabih, Justin Miller, Kevin Mai