Matching of road segments using probabilistic relaxation: a hierarchical approach

William J. Christmas; Josef Kittler; Maria Petrou

doi:10.1117/12.179224

30 June 1994 Matching of road segments using probabilistic relaxation: a hierarchical approach

William J. Christmas, Josef Kittler, Maria Petrou

Proceedings Volume 2304, Neural and Stochastic Methods in Image and Signal Processing III; (1994) https://doi.org/10.1117/12.179224
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

Probabilistic relaxation has been used previously as the basis for the development of an algorithm to match features extracted from an image with corresponding features from a model. The technique has proved very successful, especially in applications that require real- time performance. On the other hand its use has been limited to small problems, because the complexity of the algorithm varies with the fourth power of the problem size. In this paper, we show how the computational complexity can be much reduced. The matching is performed in two stages. In the first stage, only small subsets of the most salient features are used to provide an initial match. The results are used to calculate projective parameters that relate the image to the model. In the second stage, these parameters are used to simplify the matching of the entire feature sets, in a second pass of the matching algorithm.

Citation Download Citation

William J. Christmas, Josef Kittler, and Maria Petrou "Matching of road segments using probabilistic relaxation: a hierarchical approach", Proc. SPIE 2304, Neural and Stochastic Methods in Image and Signal Processing III, (30 June 1994); https://doi.org/10.1117/12.179224

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available