Abstract
The central task for computer vision is to extract a description of the world based on images. An important element of a description is the assertion that a specific individual object has been previously observed or that an object is similar to a set of objects seen in the past. This process of recognition, literally to RE- cognize, permits an aggregation of experience and the evolution of relationships between objects based on a series of observations.
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.
Similar content being viewed by others
References
P.N. Belhumeur and D.J. Kriegman. What is the set of images of an object under all possible lighting conditions? In IEEE Conf. on Computer Vision and Pattern Recognition, pages 270–277, 1996.
T.F. Cootes, G.J. Edwards, and C.J. Taylor. Active appearance models. In European Conference on Computer Vision, 1998.
K.J. Dana, S.K. Nayar, B. van Ginneken, and J.J. Koenderink. Reflectance and texture of real-world surfaces. In IEEE Conf. on Computer Vision and Pattern Recognition, pages 151–157, 1997.
R.O. Duda and P.E. Hart. Pattern classification and scene analysis. Wiley, 1973.
D.A. Forsyth and M.M. Fleck. Body plans. In IEEE Conf. on Computer Vision and Pattern Recognition, 1997.
J.J. Koenderink, A.J. Van Doorn, and M. Stavridi. Bidirectional reflection dis-tribution function expressed in terms of surface scattering modes. In European Conference on Computer Vision, 1996.
H. Murase and S. Nayar. Visual learning and recognition of 3D objects from appearance. Int. J. of Comp. Vision, 14(1):5–24, 1995.
B.D. Ripley. Pattern recognition and neural networks. Cambridge University Press, 1996.
C. Schmid and R. Mohr. Combining greyvalue invariants with local constraints for object recognition. In Proceedings of the Conference on Computer Vision and Pattern Recognition, San Francisco, California, USA, June 1996.
A. Zisserman, D.A. Forsyth, J.L. Mundy, C.A. Rothwell, and J.S. Liu. 3d object recognition using invariance. Artificial Intelligence, 78:239–288, 1995.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Mundy, J. (1999). A Formal-Physical Agenda for Recognition. In: Shape, Contour and Grouping in Computer Vision. Lecture Notes in Computer Science, vol 1681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46805-6_3
Download citation
DOI: https://doi.org/10.1007/3-540-46805-6_3
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66722-3
Online ISBN: 978-3-540-46805-9
eBook Packages: Springer Book Archive