@inproceedings{ae871f226dbb4a97ab06d86e5b79af4b,
title = "Shape from appearance: A statistical approach to surface shape estimation",
abstract = "This paper is concerned with surface shape estimation by a method in which an empirically determined associative model relating appearance to surface shape is used. Significantly, the estimated model is more accurate than the algorithm that generates the examples. The method presented here is a generalization of shape from shading methods that does not rely upon idealized models of the image formation process. As a relative of shape from shading, this method more accurately recovers small surface detail than is possible with methods such as stereo and motion. The present approach is a continuous analogue of pattern recognition and is closely related to methods of joint space learning used in robotics. Experiments on real scenes are used to illustrate the concepts involved.",
author = "Hougen, {Darrell R.} and Narendra Ahuja",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1996.; 4th European Conference on Computer Vision, ECCV 1996 ; Conference date: 15-04-1996 Through 18-04-1996",
year = "1996",
doi = "10.1007/bfb0015529",
language = "English (US)",
isbn = "3540611223",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "127--136",
editor = "Bernard Buxton and Roberto Cipolla",
booktitle = "Computer Vision – ECCV 1996 - 4th European Conference on Computer Vision, Proceedings",
address = "Germany",
}