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CVPR
2012
IEEE
13 years 6 months ago
Learning rotation-aware features: From invariant priors to equivariant descriptors
Identifying suitable image features is a central challenge in computer vision, ranging from representations for lowlevel to high-level vision. Due to the difficulty of this task,...
Uwe Schmidt, Stefan Roth

Publication
210views
15 years 10 months ago
Optimal Feature Selection for Subspace Image Matching
Image matching has been a central research topic in computer vision over the last decades. Typical approaches to correspondence involve matching features between images. In this pa...
Gemma Roig, Xavier Boix, Fernando De la Torre
130
Voted
ICMCS
2006
IEEE
182views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Using Semantic Features for Scene Classification: how Good do they Need to Be?
Semantic scene classification is a useful, yet challenging problem in image understanding. Most existing systems are based on low-level features, such as color or texture, and suc...
Matthew R. Boutell, Anustup Choudhury, Jiebo Luo, ...
117
Voted
KES
2005
Springer
15 years 9 months ago
Comparison of Feature Extraction Techniques for Watermark Synchronization
Abstract. This paper evaluates feature extraction techniques in aspect of watermark synchronization. Most watermarking algorithms suffer from geometric distortion attacks that desy...
Hae-Yeoun Lee, Heung-Kyu Lee, Junseok Lee
141
Voted
PCM
2005
Springer
107views Multimedia» more  PCM 2005»
15 years 9 months ago
Salient Feature Selection for Visual Concept Learning
Abstract. Image classification could be treated as an effective solution to enable keyword-based semantic image retrieval. In this paper, we propose a novel image classification...
Feng Xu, Lei Zhang, Yu-Jin Zhang, Wei-Ying Ma