@inproceedings{40fd0e3416be477ca847163f17acea04,
title = "Depth from defocus by changing camera aperture: a spatial domain approach",
abstract = "This paper describes the application of a new Spatial-Domain Convolution/ Deconvolution transform (S transform) for determining distance of objects using image defocus. The method known as STMAP involves simple local operations on only two images taken with different aperture diameters and can be easily implemented in parallel. Both images can be arbitrarily blurred and neither of them needs to be a focused image taken with a pin-hole camera. STMAP has been implemented on an actual camera system named SPARCS. EXperimental results on a real-world planar objects are presented. The results indicate that STMAP is useful in practical applications. The utility of the method is demonstrated for rapid autofocusing of electronic cameras. STMAP is computationally more efficient than other Depth-from-Focus methods and the results are comparable to a Fourier Transform based approach.",
author = "Gopal Surya and Murali Subbarao",
year = "1993",
language = "English",
isbn = "0818638826",
series = "IEEE Computer Vision and Pattern Recognition",
publisher = "Publ by IEEE",
pages = "61--67",
editor = "Anon",
booktitle = "IEEE Computer Vision and Pattern Recognition",
note = "Proceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition ; Conference date: 15-06-1993 Through 18-06-1993",
}