Mostrando 5 resultados de: 5
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CrowdMM 2013 - Proceedings of the 2nd ACM International Workshop on Crowdsourcing for Multimedia(1)
Image and Vision Computing(1)
Journal of Mathematical Imaging and Vision(1)
Proceedings - International Conference on Image Processing, ICIP(1)
VISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications(1)
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Programación informática, programas, datos, seguridad(2)
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Métodos informáticos especiales(1)
An iterative multiresolution scheme for SFM with missing data
ArticleAbstract: Several techniques have been proposed for tackling the Structure from Motion problem through factoriPalabras claves:Factorization technique, structure from motionAutores:A. D. Sappa, Julià C., López-Peña A., Lumbreras Ruiz F., Serrat J.Fuentes:scopusAn iterative multiresolution scheme for SFM with missing data: Single and multiple object scenes
ArticleAbstract: Most of the techniques proposed for tackling the Structure from Motion problem (SFM) cannot deal witPalabras claves:Factorization techniques, structure from motionAutores:A. D. Sappa, Angel D. Sappa, Julià C., López-Peña A., Lumbreras Ruiz F., Serrat J.Fuentes:googlescopusA general-purpose crowdsourcing platform for mobile devices
Conference ObjectAbstract: This paper presents details of a general purpose micro-task on-demand platform based on the crowdsouPalabras claves:Crowdsourcing platform, MOBILE CROWDSOURCINGAutores:A. D. Sappa, Amato A., Lumbreras Ruiz F.Fuentes:scopusDivide and conquer: Atomizing and parallelizing a task in a mobile crowdsourcing platform
Conference ObjectAbstract: In this paper we present some conclusions about the advantages of having an efficient task formulatiPalabras claves:Computer Vision, Crowdsourcing ground truth generation, Document Analysis, Mobile crowd-sourcing platformAutores:A. D. Sappa, Amato A., Fornes A., Llados J., Lumbreras Ruiz F.Fuentes:scopusMultimodal template matching based on gradient and mutual information using scale-space
Conference ObjectAbstract: This paper presents the combined use of gradient and mutual information for infrared and intensity tPalabras claves:Infrared imaging, mutual information, pattern matchingAutores:A. D. Sappa, Angel D. Sappa, Barrera F., Lumbreras Ruiz F.Fuentes:googlescopus