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Titlebook: Computer Vision, Graphics and Image Processing; 5th Indian Conferenc Prem K. Kalra,Shmuel Peleg Conference proceedings 2006 Springer-Verlag

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書目名稱Computer Vision, Graphics and Image Processing
副標題5th Indian Conferenc
編輯Prem K. Kalra,Shmuel Peleg
視頻videohttp://file.papertrans.cn/235/234304/234304.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Vision, Graphics and Image Processing; 5th Indian Conferenc Prem K. Kalra,Shmuel Peleg Conference proceedings 2006 Springer-Verlag
描述The Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) is a forum bringing together researchers and practitioners in these related areas, coming from national and international academic institutes, from government research and development laboratories, and from industry. ICVGIP has been held biannually since its inception in 1998, attracting more participants every year, including international participants. The proceedings of ICVGIP 2006, published in Springer‘s series Lecture Notes in Computer Science, comprise 85 papers that were selected for presentation from 284 papers, which were submitted from all over the world. Twenty-nine papers were oral presentations, and 56 papers were presented as posters. For the first time in ICVGIP, the review process was double-blind as common in the major international conferences. Each submitted paper was assigned at least three reviewers who are experts in the relevant area. It was difficult to select such a few papers, as there were many other deserving, but those could not be accommodated.
出版日期Conference proceedings 2006
關鍵詞Resolution; Stereo; biometrics; classification; computer vision; filtering; image processing; visualization
版次1
doihttps://doi.org/10.1007/11949619
isbn_softcover978-3-540-68301-8
isbn_ebook978-3-540-68302-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2006
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Greyscale Photograph Geometry Informed by Dodging and Burningpart, to the liberal use of dodging and burning in photography. Measurements which are invariant to these transformations can be used to extract information from photographs which is not sensitive to certain alterations in the development process. These measurements are explored through the construc
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A Discontinuity Adaptive Method for Super-Resolution of License Platesithm uses the information available from multiple, sub-pixel shifted, and noisy low-resolution observations to reconstruct a high-resolution image of the number plate. The image to be super-resolved is modeled as a Markov random field and is estimated from the low-resolution observations by a gradua
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An Automatic Image Segmentation Technique Based on Pseudo-convex Hull including noisy and poor quality images. It is fully automatic and has low computational cost. It may be noted that the proposed segmentation technique may not produce optimal result in some cases but it gives reasonably good result for almost all images of a large class. Hence, the method is found
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Single-Histogram Class Models for Image Segmentation to represent an object class by a set of histograms, each one corresponding to a training exemplar. Classification is then achieved by k-nearest neighbour search over the exemplars..In this paper we introduce two novelties on this approach: (i) we show that new compact . histogram models estimated
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