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Dense Image Correspondences for Computer Vision

Dense Image Correspondences for Computer Vision. Tal Hassner

Dense Image Correspondences for Computer Vision


Dense.Image.Correspondences.for.Computer.Vision.pdf
ISBN: 9783319230474 | 295 pages | 8 Mb


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Dense Image Correspondences for Computer Vision Tal Hassner
Publisher: Springer International Publishing



IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2013. Image alignment and registration is a central topic in computer vision. Correspondence, namely how pixels in one image correspond to pixels in another image, is a fundamental problem in computer vision. The paper presents a critical review and analysis of dense image matching algorithms. There are several levels of scenarios in which image alignment dwells. For exam- ple, aligning to align with (a) using the estimated dense correspondence field. Computer vision, image and video processing, computational photography and video. Image alignment, registration and correspondence are central topics in computer vision. I.4.8 [Image Processing and Computer Vision]: Scene. Aug 6, 2013 - 44 sec - Uploaded by ospire1830K correspondence/second performance. Annotation of Large Image Databases via Dense Image Correspondence. This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation.