77264 20191212100659.0 doi 10.1016/j.cviu.2018.01.003 sideral 104898 ART-2018-104898 eng (orcid)0000-0002-8479-1748 Bermúdez-Cameo, Jesús Universidad de Zaragoza Fitting line projections in non-central catadioptric cameras with revolution symmetry 2018 Access copy available to the general public Unrestricted Line-images in non-central cameras contain much richer information of the original 3D line than line projections in central cameras. The projection surface of a 3D line in most catadioptric non-central cameras is a ruled surface, encapsulating the complete information of the 3D line. The resulting line-image is a curve which contains the 4 degrees of freedom of the 3D line. That means a qualitative advantage with respect to the central case, although extracting this curve is quite difficult. In this paper, we focus on the analytical description of the line-images in non-central catadioptric systems with symmetry of revolution. As a direct application we present a method for automatic line-image extraction for conical and spherical calibrated catadioptric cameras. For designing this method we have analytically solved the metric distance from point to line-image for non-central catadioptric systems. We also propose a distance we call effective baseline measuring the quality of the reconstruction of a 3D line from the minimum number of rays. This measure is used to evaluate the different random attempts of a robust scheme allowing to reduce the number of trials in the process. The proposal is tested and evaluated in simulations and with both synthetic and real images. info:eu-repo/grantAgreement/ES/MINECO/DPI2014-61792-EXP info:eu-repo/grantAgreement/ES/MINECO/DPI2015-65962-R info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 2.645 2018 ENGINEERING, ELECTRICAL & ELECTRONIC 115 / 265 = 0.434 2018 Q2 T2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 58 / 133 = 0.436 2018 Q2 T2 0.766 2018 Computer Vision and Pattern Recognition 2018 Q1 Software 2018 Q1 Signal Processing 2018 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion (orcid)0000-0001-9347-5969 López-Nicolás, Gonzalo Universidad de Zaragoza (orcid)0000-0001-5209-2267 Guerrero, José J. Universidad de Zaragoza 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 167 (2018), 134-152 Comput. vis. image underst. COMPUTER VISION AND IMAGE UNDERSTANDING 1077-3142 4159449 http://zaguan.unizar.es/record/77264/files/texto_completo.pdf Postprint 90720 http://zaguan.unizar.es/record/77264/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:77264 articulos driver 2019-12-12-10:03:15 ARTICLE