Image-to-Geometry Registration: a Mutual Information Method exploiting Illumination-related Geometric Properties

dc.contributor.authorCorsini, Massimilianoen_US
dc.contributor.authorDellepiane, Matteoen_US
dc.contributor.authorPonchio, Federicoen_US
dc.contributor.authorScopigno, Robertoen_US
dc.date.accessioned2015-02-23T16:07:49Z
dc.date.available2015-02-23T16:07:49Z
dc.date.issued2009en_US
dc.description.abstractThis work concerns a novel study in the field of image-to-geometry registration. Our approach takes inspiration from medical imaging, in particular from multi-modal image registration. Most of the algorithms developed in this domain, where the images to register come from different sensors (CT, X-ray, PET), are based on Mutual Information, a statistical measure of non-linear correlation between two data sources. The main idea is to use mutual information as a similarity measure between the image to be registered and renderings of the model geometry, in order to drive the registration in an iterative optimization framework. We demonstrate that some illumination-related geometric properties, such as surface normals, ambient occlusion and reflection directions can be used for this purpose. After a comprehensive analysis of such properties we propose a way to combine these sources of information in order to improve the performance of our automatic registration algorithm. The proposed approach can robustly cover a wide range of real cases and can be easily extended.en_US
dc.description.number7en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume28en_US
dc.identifier.doi10.1111/j.1467-8659.2009.01552.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages1755-1764en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2009.01552.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleImage-to-Geometry Registration: a Mutual Information Method exploiting Illumination-related Geometric Propertiesen_US
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