Image-to-Geometry Registration: a Mutual Information Method exploiting Illumination-related Geometric Properties
dc.contributor.author | Corsini, Massimiliano | en_US |
dc.contributor.author | Dellepiane, Matteo | en_US |
dc.contributor.author | Ponchio, Federico | en_US |
dc.contributor.author | Scopigno, Roberto | en_US |
dc.date.accessioned | 2015-02-23T16:07:49Z | |
dc.date.available | 2015-02-23T16:07:49Z | |
dc.date.issued | 2009 | en_US |
dc.description.abstract | This 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.number | 7 | en_US |
dc.description.seriesinformation | Computer Graphics Forum | en_US |
dc.description.volume | 28 | en_US |
dc.identifier.doi | 10.1111/j.1467-8659.2009.01552.x | en_US |
dc.identifier.issn | 1467-8659 | en_US |
dc.identifier.pages | 1755-1764 | en_US |
dc.identifier.uri | https://doi.org/10.1111/j.1467-8659.2009.01552.x | en_US |
dc.publisher | The Eurographics Association and Blackwell Publishing Ltd | en_US |
dc.title | Image-to-Geometry Registration: a Mutual Information Method exploiting Illumination-related Geometric Properties | en_US |