SynthPS: a Benchmark for Evaluation of Photometric Stereo Algorithms for Cultural Heritage Applications

dc.contributor.authorDulecha, Tinsae Gebrechristosen_US
dc.contributor.authorPintus, Ruggeroen_US
dc.contributor.authorGobbetti, Enricoen_US
dc.contributor.authorGiachetti, Andreaen_US
dc.contributor.editorSpagnuolo, Michela and Melero, Francisco Javieren_US
dc.date.accessioned2020-11-17T17:51:33Z
dc.date.available2020-11-17T17:51:33Z
dc.date.issued2020
dc.description.abstractPhotometric Stereo (PS) is a technique for estimating surface normals from a collection of images captured from a fixed viewpoint and with variable lighting. Over the years, several methods have been proposed for the task, trying to cope with different materials, lights, and camera calibration issues. An accurate evaluation and selection of the best PS methods for different materials and acquisition setups is a fundamental step for the accurate quantitative reconstruction of objects' shapes. In particular, it would boost quantitative reconstruction in the Cultural Heritage domain, where a large amount of Multi-Light Image Collections are captured with light domes or handheld Reflectance Transformation Imaging protocols. However, the lack of benchmarks specifically designed for this goal makes it difficult to compare the available methods and choose the most suitable technique for practical applications. An ideal benchmark should enable the evaluation of the quality of the reconstructed normals on the kind of surfaces typically captured in real-world applications, possibly evaluating performance variability as a function of material properties, light distribution, and image quality. The evaluation should not depend on light and camera calibration issues. In this paper, we propose a benchmark of this kind, SynthPS, which includes synthetic, physically-based renderings of Cultural Heritage object models with different assigned materials. SynthPS allowed us to evaluate the performance of classical, robust and learning-based Photometric Stereo approaches on different materials with different light distributions, also analyzing their robustness against errors typically arising in practical acquisition settings, including robustness against gamma correction and light calibration errors.en_US
dc.description.sectionheadersGeometry and Modelling
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.identifier.doi10.2312/gch.20201288
dc.identifier.isbn978-3-03868-110-6
dc.identifier.issn2312-6124
dc.identifier.pages13-22
dc.identifier.urihttps://doi.org/10.2312/gch.20201288
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/gch20201288
dc.publisherThe Eurographics Associationen_US
dc.titleSynthPS: a Benchmark for Evaluation of Photometric Stereo Algorithms for Cultural Heritage Applicationsen_US
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