We present a novel surface radiance model for diffuse lighting conditions that incorporates shadows, interreflections, and surface orientation. We show that, for smooth surfaces, the model is an excellent approximation of the radiosity equation. We present a new data structure and algorithm that uses this model to compute shape--from--shading under diffuse lighting. The algorithm was tested on both synthetic and real images, and was found to perform more accurately than the only previous algorithm for this problem. Various causes of error are discussed, including approximation errors in image modelling, poor constraints at the image boundary, and ill-conditioning of the problem itself.
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@inproceedings{SL-cvpr96,
author = "A. James Stewart and Michael S. Langer",
title = "Towards Accurate Recovery of Shape from Shading under
Diffuse Lighting",
booktitle = "Proceedings of the IEEE Conference on Computer Vision
and Pattern Recognition",
year = "1996",
month = "June",
pages = "411--416"
}