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» Graph-Theoretical Methods in Computer Vision
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137
Voted
CVPR
2012
IEEE
13 years 3 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
108
Voted
ACIVS
2005
Springer
15 years 6 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
88
Voted
ICIP
2004
IEEE
16 years 2 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
CVPR
2010
IEEE
15 years 8 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
CVPR
1996
IEEE
16 years 2 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