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» Selecting What Is Important: Training Visual Attention
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CVPR
2012
IEEE
13 years 2 months ago
The scale of edges
Although the scale of isotropic visual elements such as blobs and interest points, e.g. SIFT[12], has been well studied and adopted in various applications, how to determine the s...
Xianming Liu, Changhu Wang, Hongxun Yao, Lei Zhang
EGOV
2003
Springer
15 years 4 months ago
Implementing e-Government in Spain
: New information and communication technologies within the Administration give rise to a series of important challenges: to select and use the various telematic and computer-relat...
José Luis Bermejo Latre
ICIP
2005
IEEE
16 years 1 months ago
Efficient video mosaicing based on motion analysis
Presenting more comprehensive information than key frame and any subset of frames, mosaic has attracted a growing attention in recent years as a useful element for a variety of vi...
Tao Mei, Xian-Sheng Hua, He-Qin Zhou, Shipeng Li, ...
COMPSYSTECH
2009
14 years 9 months ago
A Bayesian approach to recognise facial expressions using vector flows
: Facial expressions play an important role in human nonverbal communication. They can be generated by activation and dilatation of facial muscles. In this paper we describe a syst...
Xiaofan Sun, Léon J. M. Rothkrantz, Dragos ...
WACV
2007
IEEE
15 years 6 months ago
Object Categorization Robust to Surface Markings using Entropy-guided Codebook
Visual categorization is fundamentally important for autonomous mobile robots to get intelligence such as novel object acquisition and topological place recognition. The main difï...
Sungho Kim, In-So Kweon