International Journal of Computer Vision
Description
International Journal of Computer Vision (IJCV) details the science and engineering of this rapidly growing field. Regular articles present major technical advances of broad general interest. Short articles provide a fast publication path for novel research results. Survey articles offer critical reviews of the state of the art and/or tutorial presentations of pertinent topics. Coverage includes: - Mathematical, physical and computational aspects of computer vision: image formation, processing, analysis, and interpretation; machine learning techniques; statistical approaches; sensors. - Applications: image-based rendering, computer graphics, robotics, photo interpretation, image retrieval, video analysis and annotation, multi-media, and more. - Connections with human perception: computational and architectural aspects of human vision. The journal also features book reviews, position papers, editorials by leading scientific figures, as well as additional on-line material, such as still images, video sequences, data sets, and software.
103 Volumes 285 Issues 1,632 Articles available from 1988 - 2013
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OriginalPaper
Training Effective Node Classifiers for Cascade Classification
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OriginalPaper
Self-Calibration Under the Cayley Framework
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OriginalPaper
Recognizing Materials Using Perceptually Inspired Features
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