@inproceedings{e494688898d84b84816ce506a9c2f625,
title = "Fast template matching of repetitive objects in stereoscopy",
abstract = "One of the challenges of stereovision is to process images with repetitive objects. In order to calculate the distance to an object, matching of the corresponding points between two images must be done. When repetitive objects exist, matching is not straightforward. Many known stereo methods rely on a uniqueness constraint. A uniqueness constraint assumes that only one correct match exists between stereo images. Some algorithms ignore repetitive objects and omit them in the depth map. We present a method that does not employ a uniqueness constraint, but rather determines whether an object is repetitive and then solves the matching problem by finding a unique object that is in close proximity to the object.",
keywords = "Image processing, Image registration, Stereo vision",
author = "Youval Nehmadi and Orly Kalantyrsky and Hugo Guterman",
year = "2012",
month = jun,
day = "18",
language = "English",
isbn = "9789898425980",
series = "ICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods",
pages = "198--205",
booktitle = "ICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods",
note = "1st International Conference on Pattern Recognition Applications and Methods, ICPRAM 2012 ; Conference date: 06-02-2012 Through 08-02-2012",
}