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» Graph-Theoretical Methods in Computer Vision
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CVPR
2012
IEEE
13 years 2 months ago
A line-structure-preserving approach to image resizing
This paper proposes a content-aware image resizing method which simultaneously preserves both salient image features and important line structure properties: parallelism, collinea...
Che-Han Chang, Yung-Yu Chuang
CVPR
2010
IEEE
15 years 9 months ago
Unified Graph Matching in Euclidean Spaces
Graph matching is a classical problem in pattern recognition with many applications, particularly when the graphs are embedded in Euclidean spaces, as is often the case for comput...
Julian McAuley, Teofilo de Campos, Tiberio Caetano
88
Voted
CVPR
2004
IEEE
16 years 2 months ago
Radiometric Calibration from a Single Image
Photometric methods in computer vision require calibration of the camera's radiometric response, and previous works have addressed this problem using multiple registered imag...
Stephen Lin, Jinwei Gu, Shuntaro Yamazaki, Heung-Y...
93
Voted
BMVC
2010
14 years 10 months ago
Deterministic Sample Consensus with Multiple Match Hypotheses
RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both fram...
Paul McIlroy, Edward Rosten, Simon Taylor, Tom Dru...
75
Voted
ICPR
2006
IEEE
16 years 1 months ago
Improving human activity detection by combining multi-dimensional motion descriptors with boosting
A new, combined human activity detection method is proposed. Our method is based on Efros et al.'s motion descriptors[2] and Ke et al.'s event detectors[3]. Since both m...
Josef Kittler, Seiji Ishikawa, Takehito Ogata, Wil...