Abstract
Any imaging system, such as the human eye, a video-camera, a CT scanner or a telescope, entails a map of the three-dimensional environment onto the two-dimensional surface of an imaging sensor. Images of any such map are characterized by a loss of information along one spatial dimension. The visual system of primates has evolved to exploit two-dimensional images to retrieve a representation of the environment that can be used to perform spatial control tasks crucial to survival.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Various authors. IEEE Transactions on Signal Processing, special issue on signal processing for advanced communications. 1997.
M. Born and E. Wolf. Principle of optics. Pergamon Press, 1980.
W. Dayawansa, B. Ghosh, C. Martin, and X. Wang. A necessary and sufficient condition for the perspective observability problem. Systems and Control Letters, 25 (3): 159–166, 1994.
J. Ens and P. Lawrence. An investigation of methods for determining depth from focus. IEEE Trans. Pattern Anal. Mach. Intell, 15: 97–108, 1993.
O. Faugeras, Three dimensional vision, a geometric viewpoint. MIT Press, 1993.
F. Friedlander, Introduction to the theory of distributions. Cambridge University Press, 1982.
G. Golub and V. Pereyra. The differentiation of pseudo-inverses and nonlinear least-squares problems whose variables separate. SIAM J. Numer. Anal, 10 (2): 413–532, 1973.
B. Horn. Robot vision. MIT press, 1986.
J. Marshall, C. Burbeck, and D. Ariely. Occlusion edge blur: a cue to relative visual depth. Intl. J. Opt. Soc. Am. A, 13: 681–688, 1996.
A. Pentland. A new sense for depth of field. IEEE Trans. Pattern Anal. Mach. Intell, 9: 523–531, 1987.
R. Rosenholtz and J. Malik. A differential method for computing local shape-from-texture for planar and curved surfaces. UCB-CSD 93–775, Computer Science Division, University of California at Berkeley, 1993.
S. Soatto. 3-d structure from visual motion: modeling, representation and observability. Automatica, 33: 1287–1312, 1997.
S. Soatto. Observability of shape from focus. In Proc. of the IEEE Conf. on Decision and Control, December 1998, to appear.
M. Subbarao and G. Surya. Depth from defocus: a spatial domain approach. Intl. J. of Computer Vision, 13: 271–294, 1994.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Birkhäuser Verlag Basel/Switzerland
About this paper
Cite this paper
Soatto, S. (1999). The Accommodation Cue in Vision. In: Picci, G., Gilliam, D.S. (eds) Dynamical Systems, Control, Coding, Computer Vision. Progress in Systems and Control Theory, vol 25. Birkhäuser Basel. https://doi.org/10.1007/978-3-0348-8970-4_21
Download citation
DOI: https://doi.org/10.1007/978-3-0348-8970-4_21
Publisher Name: Birkhäuser Basel
Print ISBN: 978-3-0348-9848-5
Online ISBN: 978-3-0348-8970-4
eBook Packages: Springer Book Archive