Photometric Stereo with Area Light for Object-Level Surface Reconstruction

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초록

A traditional photometric stereo method estimates surface normals with point lights placed at infinity, suffering from geometric errors when the light has a planar shape and is near the object. Though the light sampling approach improves the accuracy, it yields a trade-off between the number of light samples and the precision. In this paper, we propose a photometric stereo method to estimate the surface normals of an object using planar lights installed near the object, which is rather practical. Our multiple planar light model allows planar light to have different light intensities and near objects. We leverage the closed form of the shading equation of planar lights to build the linear equation that constrains surface normals by photometric observations. We compare our method with other physical-based approaches in the synthetic sets and demonstrate its performance in terms of accuracy and precision. We also test our method in in-the-wild scenarios.

키워드

3D reconstructionarea lightcomputer graphicscomputer visionphotometric stereosurface normal
제목
Photometric Stereo with Area Light for Object-Level Surface Reconstruction
저자
Yoon, Jun YoungLee, Joo Ho
DOI
10.1109/ACCESS.2025.3648768
발행일
2026
유형
Article
저널명
IEEE Access
14
페이지
81437 ~ 81446