Multi-Light Energy Map

dc.contributor.authorLardeux, Florianen_US
dc.contributor.authorMarchand, Sylvainen_US
dc.contributor.authorGomez-Krämer, Petraen_US
dc.contributor.editorSablatnig, Robert and Wimmer, Michaelen_US
dc.date.accessioned2018-11-11T10:57:39Z
dc.date.available2018-11-11T10:57:39Z
dc.date.issued2018
dc.description.abstractWe propose a model to represent quasi-flat objects, such as coins or amphora stamps. These objects are flat surfaces, meaning their length and their width largely exceed their height, and feature a distinctive relief. This relief characterizes the object and its perception is directly influenced by the position of the object, the light direction and the viewer's direction. Our model is a single image representation containing the underlying structural variations of the object. This model, that we call 'Multi-Light Energy Map', is constructed out of several classic images taken with several illumination directions without computing the object's surface normals. We found a way to extract useful information out of this sequence of images and compile it into our map. We eventually explain how we can use this model in the case of image registration of ancient coins.en_US
dc.description.sectionheaders3D Scanning and Digitization
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.identifier.doi10.2312/gch.20181361
dc.identifier.isbn978-3-03868-057-4
dc.identifier.issn2312-6124
dc.identifier.pages199-202
dc.identifier.urihttps://doi.org/10.2312/gch.20181361
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/gch20181361
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.8 [Computer Graphics]
dc.subjectApplications
dc.subjectI.4.3 [Image Processing and Computer Vision]
dc.subjectEnhancement
dc.subjectRegistration
dc.subjectI.4.8 [Image Processing and Computer Vision]
dc.subjectScene Analysis
dc.subjectShading
dc.subjectShape
dc.subjectI.4.10 [Image Processing and Computer Vision]
dc.subjectImage Representation
dc.titleMulti-Light Energy Mapen_US
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