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

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书目名称Computer Vision, Graphics and Image Processing影响因子(影响力)




书目名称Computer Vision, Graphics and Image Processing影响因子(影响力)学科排名




书目名称Computer Vision, Graphics and Image Processing网络公开度




书目名称Computer Vision, Graphics and Image Processing网络公开度学科排名




书目名称Computer Vision, Graphics and Image Processing被引频次




书目名称Computer Vision, Graphics and Image Processing被引频次学科排名




书目名称Computer Vision, Graphics and Image Processing年度引用




书目名称Computer Vision, Graphics and Image Processing年度引用学科排名




书目名称Computer Vision, Graphics and Image Processing读者反馈




书目名称Computer Vision, Graphics and Image Processing读者反馈学科排名

极少

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

骂人有污点

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

Commonwealth

谷类

DEFT

DEFT

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

FID

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

乳白光

泛滥