IEEE Transactions on Circuits and Systems for Video Technology: Volume 26 Issue 12, December 2016
Publisher: IEEE Press
Sparse coding (SC) is making a significant impact in computer vision and signal processing communities, which achieves the state-of-the-art performance in a variety of applications for images, e.g., denoising, restoration, and synthesis. We propose an adaptive and robust SC algorithm exploiting the characteristics of typical laser range data and the ...
Journal on Computing and Cultural Heritage (JOCCH): Volume 8 Issue 4, August 2015
Citation Count: 1
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Inspired by the outstanding performance of sparse representation (SR) in a variety of image/video relevant classification and identification tasks, we propose an adaptive SR method for painting style analysis. Significantly improved over previous SR-based methods, which heavily rely on the comparison of query paintings, our method is able to authenticate ...
discriminative patches, DCT baseline, Sparse representation, dictionary learning
International Journal of Computer Vision: Volume 101 Issue 1, January 2013
Publisher: Kluwer Academic Publishers
In this paper, we explore how a visual system equipped with a pair of frontally-placed eyes/cameras can rapidly estimate egomotion and depths for the task of locomotion by exploiting the eye topography. We eschew the traditional approach of motion-stereo integration, as finding stereo correspondence is a computationally expensive operation. Instead, ...
Quasi-parallax, Structure from motion, Binocular vision
ECCV'12: Proceedings of the 12th European conference on Computer Vision - Volume Part V
Recent evaluation of representative background subtraction techniques demonstrated the drawbacks of these methods, with hardly any approach being able to reach more than 50% precision at recall level higher than 90%. Challenges in realistic environment include illumination change causing complex intensity variation, background motions (trees, waves, etc.) whose magnitude can ...