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» On the design of robust classifiers for computer vision
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75
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HCI
2007
15 years 1 months ago
Designing Smart Living Objects - Enhancing vs. Distracting Traditional Human-Object Interaction
Abstract. To realize Weiser’s vision of ubiquitous computing, a popular approach has been to create so-called smart living objects, which are everyday objects in our living envir...
Pei-yu Chi, Jen-hao Chen, Shih-yen Liu, Hao-Hua Ch...
115
Voted
ACCV
1995
Springer
15 years 4 months ago
Developing an Active Observer
We present a binocular active vision system that can attend to and xate a moving target. Our system has an open and expandable design and it forms the rst steps of a long term e o...
Jan-Olof Eklundh, Tomas Uhlin, Peter Nordlund, Ats...
184
Voted
CVPR
2006
IEEE
1579views Computer Vision» more  CVPR 2006»
16 years 2 months ago
CSIFT: A SIFT Descriptor with Color Invariant Characteristics
SIFT has been proven to be the most robust local invariant feature descriptor. SIFT is designed mainly for gray images. However, color provides valuable information in object desc...
Alaa E. Abdel-Hakim, Aly A. Farag
131
Voted
ICPR
2010
IEEE
14 years 10 months ago
A Re-evaluation of Pedestrian Detection on Riemannian Manifolds
Abstract--Boosting covariance data on Riemannian manifolds has proven to be a convenient strategy in a pedestrian detection context. In this paper we show that the detection perfor...
Diego Tosato, Michela Farenzena, Marco Cristani, V...
120
Voted
ICCV
2011
IEEE
14 years 15 days ago
Evaluation of Image Features Using a Photorealistic Virtual World
Image features are widely used in computer vision applications. They need to be robust to scene changes and image transformations. Designing and comparing feature descriptors requ...
Biliana Kaneva, Antonio Torralba, Bill Freeman