Resultats globals: 5 registres trobats en 0.02 segons.
Articles, 5 registres trobats
Articles 5 registres trobats  
1.
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  
2.
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  
3.
17 p, 752.5 KB Fast 3D-Vision System to Classify Metallic Coins by their Embossed Topography / Hossfeld, Michael (Hamburg University of Technology) ; Chu, Weiyi (Hamburg University of Technology) ; Eich, Manfred (Hamburg University of Technology) ; Adameck, Markus (Hella KGaA Hueck & Co. (Lippstadt, Alemanya))
This paper presents a security-related machine-vision solution for real-time classification of moving objects with highly reflective metallic surfaces and complex 3D-structures. As an application example of our so called Three-Color Selective Stereo Gradient Method (Three-Color SSGM) a classification system for three main coin denominations of Euro coins is presented. [...]
2006 - 10.5565/rev/elcvia.117
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 5 n. 4 (2006) p. 47-63  
4.
14 p, 993.9 KB Contextual System of Symbol Structural Recognition based on an Object-Process Methodology / Delalandre, Mathieu (Université de Rouen. PSI Laboratory) ; Trupin, Eric (Université de Rouen. PSI Laboratory) ; Ogier, Jean-Marc (Université de La Rochelle. L3I Laboratory) ; Labiche, Jacques (Université de Rouen. PSI Laboratory)
We present in this paper a symbol recognition system for the graphic documents. This one is based on a contextual approach for symbol structural recognition exploiting an Object-Process Methodology. [...]
2005 - 10.5565/rev/elcvia.93
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 5 n. 2 (2005) p. 16-29  
5.
11 p, 304.6 KB Automatic instrument localization in laparoscopic surgery / Climent, Joan (Universitat Politècnica de Catalunya) ; Marés, Pere (Universitat Politècnica de Catalunya)
This paper presents a tracking algorithm for automatic instrument localization in robotically assisted laparoscopic surgery. We present a simple and robust system that doesn’t need the presence of artificial marks, or special colours to distinguish the instruments. [...]
2004 - 10.5565/rev/elcvia.70
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 4 n. 1 (2004) p. 21-31  

Us interessa rebre alertes sobre nous resultats d'aquesta cerca?
Definiu una alerta personal via correu electrònic o subscribiu-vos al canal RSS.