Applying BRDF Monotonicity for Refined Shading Normal Extraction from Multi-Light Image Collections

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dc.contributor.authorPintus, Ruggeroen_US
dc.contributor.authorZorcolo, Antonioen_US
dc.contributor.authorGobbetti, Enricoen_US
dc.contributor.editorCorsini, Massimilianoen_US
dc.contributor.editorFerdani, Danieleen_US
dc.contributor.editorKuijper, Arjanen_US
dc.contributor.editorKutlu, Hasanen_US
dc.date.accessioned2024-09-15T09:56:21Z
dc.date.available2024-09-15T09:56:21Z
dc.date.issued2024
dc.description.abstractMulti-Light Image Collections (MLICs) are often transformed into geometric normals and BRDF normals for visual exploration under novel illumination. However, discrepancies between the chosen BRDF space and the complete optical behavior of objects, along with the possible presence of non-local lighting effects in measurements, often lead to sub-optimal visual outcomes even with the most accurate geometric normal recovery. In this paper, we introduce a modular component designed to convert the geometric normals into well-behaved shading normals, under the common and general assumption that the reflectance must be a monotonic function of the angle between the shading normal and the bisector of lighting and viewing directions. Since it does not require the coupling of shape and material estimation, the module allows seamless integration into existing reconstruction pipelines, supporting the mixing and matching of Photometric Stereo methods, BRDF models, and BRDF fitters. The performance and versatility of the approach are demonstrated through experiments.en_US
dc.description.sectionheadersCapturing and Visualizing the Visible and Invisible
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.identifier.doi10.2312/gch.20241241
dc.identifier.isbn978-3-03868-248-6
dc.identifier.issn2312-6124
dc.identifier.pages6 pages
dc.identifier.urihttps://doi.org/10.2312/gch.20241241
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/gch20241241
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Shape modeling; Computer graphics; Applied computing → Arts and humanities
dc.subjectComputing methodologies → Shape modeling
dc.subjectComputer graphics
dc.subjectApplied computing → Arts and humanities
dc.titleApplying BRDF Monotonicity for Refined Shading Normal Extraction from Multi-Light Image Collectionsen_US
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GCH 2024 - Eurographics Workshop on Graphics and Cultural Heritage