Abstract

A new technique for determining the distortion parameters (location, orientation, and scale) of general 2-D objects is introduced. It uses the straight-line Hough transform as a feature space. The technique is very efficient and robust, since the dimensionality of the feature space is low and since it uses input images directly (with no preprocessing such as segmentation). Because the feature space allows separation of translation and rotation effects, a hierarchical algorithm to discriminate among objects and to detect object rotation and translation using projections and slices of the Hough space is possible.

© 1988 Optical Society of America

Parallel holographic generation of multiple Hough transform slices

Jeffrey Richards, Pieter Vermeulen, Etienne Barnard, and David P. Casasent
Appl. Opt. 27(21) 4540-4545 (1988)

Hough transform detection of 3-D curves and target trajectories

Raghuram Krishnapuram and David P. Casasent
Appl. Opt. 28(16) 3479-3486 (1989)

Optical associative processor for general linear transformations

Raghuram Krishnapuram and David Casasent
Appl. Opt. 26(17) 3641-3648 (1987)

Detection of target trajectories using the Hough transform

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Appl. Opt. 26(2) 247-251 (1987)

Optical implementation of the Hough transform by a matrix of holograms

P. Ambs, Sing H. Lee, Q. Tian, and Y. Fainman
Appl. Opt. 25(22) 4039-4045 (1986)