ELCVIA

ELCVIA 5 registres trobats  La cerca s'ha fet en 0.01 segons. 
1.
1 p, 43.7 KB List of reviewers
The following is a list of reviewers who from January 2007 to December 2007, have contributed their time and talent to the success of the publication of the ELECTRONIC LETTERS ON COMPUTER VISION AND IMAGE ANALYSIS.
2007 - 10.5565/rev/elcvia.137
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 6 n. 1 (2007) , p. 55-55  
2.
11 p, 731.8 KB Optimal Geometric Matching for Patch-Based Object Detection / Keysers, Daniel (German Research Center for Artificial Intelligence (Kaiserslautern, Alemanya)) ; Deselaers, Thomas (Human Language Technology and Pattern Recognition Group (Aachen, Alemanya)) ; Breuel, Thomas M. (German Research Center for Artificial Intelligence (Kaiserslautern, Alemanya))
We present an efficient method to determine the optimal matching of two patch-based image object representations under rotation, scaling, and translation (RST). This use of patches is equivalent to a fullyconnected part-based model, for which the presented approach offers an efficient procedure to determine the best fit. [...]
2007 - 10.5565/rev/elcvia.136
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 6 n. 1 (2007) , p. 44-54  
3.
17 p, 263.4 KB Genetic Programming for Object Detection : a Two-Phase Approach with an Improved Fitness Function / Zhang, Mengjie (Victoria University of Wellington (Wellington, Nova Zelanda). School of Mathematics, Statistics and Computer Science) ; Bhowan, Urvesh (Victoria University of Wellington (Wellington, Nova Zelanda). School of Mathematics, Statistics and Computer Science) ; Ny, Bunna (Victoria University of Wellington (Wellington, Nova Zelanda). School of Mathematics, Statistics and Computer Science)
This paper describes two innovations that improve the efficiency and effectiveness of a genetic programming approach to object detection problems. The approach uses genetic programming to construct object detection programs that are applied, in a moving window fashion, to the large images to locate the objects of interest. [...]
2007 - 10.5565/rev/elcvia.135
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 6 n. 1 (2007) p. 27-43  
4.
14 p, 544.7 KB 3D Model Based Pose Invariant Face Recognition from a Single Frontal View / Chen, Qinran (The Chinese University of Hong Kong. Department of Electronic Engineering) ; Cham, Wai-kuen (The Chinese University of Hong Kong. Department of Electronic Engineering)
This paper proposes a 3D model based pose invariant face recognition method that can recognize a face of a large rotation angle from its single nearly frontal view. The proposed method achieves the goal by using an analytic-to-holistic approach and a novel algorithm for estimation of ear points. [...]
2007 - 10.5565/rev/elcvia.134
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 6 n. 1 (2007) p. 13-26  
5.
12 p, 449.0 KB A Colour Code Algorithm For Signature Recognition / Kulkarni, Vinayak B. (Finolex Academy of Management & Technology (Maharashtra, Índia). Department of Electronics Engineering)
The paper “A Colour Code Algorithm for Signature Recognition” accounts an image processing application where any user can verify signature instantly. The system deals with a Colour code algorithm, which is used to recognize the signature. [...]
2007 - 10.5565/rev/elcvia.133
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 6 n. 1 (2007) p. 1-12  

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