Multi-View Ambient Occlusion for Enhancing Visualization of Raw Scanning Data

dc.contributor.authorSabbadin, Manueleen_US
dc.contributor.authorPalma, Gianpaoloen_US
dc.contributor.authorCignoni, Paoloen_US
dc.contributor.authorScopigno, Robertoen_US
dc.contributor.editorChiara Eva Catalano and Livio De Lucaen_US
dc.date.accessioned2016-10-05T06:27:36Z
dc.date.available2016-10-05T06:27:36Z
dc.date.issued2016
dc.description.abstractThe correct understanding of the 3D shape is a crucial aspect to improve the 3D scanning process, especially in order to perform high quality and as complete as possible 3D acquisitions on the field. The paper proposes a new technique to enhance the visualization of raw scanning data based on the definition in device space of a Multi-View Ambient Occlusion (MVAO). The approach allows improving the comprehension of the 3D shape of the input geometry and, requiring almost no preprocessing, it can be directly applied to raw captured point clouds. The algorithm has been tested on different datasets: high resolution Time-of-Flight scans and streams of low quality range maps from a depth camera. The results enhance the details perception in the 3D geometry using the multi-view information to make more robust the ambient occlusion estimation.en_US
dc.description.sectionheadersVisualisation and 3D Printing
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.identifier.doi10.2312/gch.20161379
dc.identifier.isbn978-3-03868-011-6
dc.identifier.issn2312-6124
dc.identifier.pages23-32
dc.identifier.urihttp://dx.doi.org/10.2312/gch.20161379
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/gch20161379
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectDisplay algorithms
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectDigitizing and scanning
dc.titleMulti-View Ambient Occlusion for Enhancing Visualization of Raw Scanning Dataen_US
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