Share Email Print

Proceedings Paper

Cepstral methods in computational vision
Author(s): Esfandiar Bandari; James J. Little
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Many computational vision routines can be regarded as recognition and retrieval of echoes in space or time. Cepstral analysis is a powerful nonlinear adaptive signal processing methodology widely used in many areas such as: echo retrieval and removal, speech processing and phoneme chunking, radar and sonar processing, seismology, medicine, image deblurring and restoration, and signal recovery. The aim of this paper is: (1) To provide a brief mathematical and historical review of cepstral techniques. (2) To introduce computational and performance improvements to power and differential cepstrum for use in detection of echoes; and to provide a comparison between these methods and the traditional cepstral techniques. (3) To apply cepstrum to visual tasks such as motion analysis and trinocular vision. And (4) to draw a brief comparison between cepstrum and other matching techniques. The computational and performance improvements introduced in this paper can e applied in other areas that frequently utilize cepstrum.

Paper Details

Date Published: 21 May 1993
PDF: 12 pages
Proc. SPIE 1902, Nonlinear Image Processing IV, (21 May 1993); doi: 10.1117/12.144761
Show Author Affiliations
Esfandiar Bandari, Univ. of British Columbia (Canada)
James J. Little, Univ. of British Columbia (Canada)

Published in SPIE Proceedings Vol. 1902:
Nonlinear Image Processing IV
Edward R. Dougherty; Jaakko T. Astola; Harold G. Longbotham, Editor(s)

© SPIE. Terms of Use
Back to Top