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Herrera Caro, Pedro Javier and Pajares Martinsanz, Gonzalo and Guijarro Mata-García, María and Ruz Ortíz, José Jaime and Cruz García, Jesús Manuel de la (2009) Choquet Fuzzy Integral Applied to Stereovision Matching for Fish-Eye Lenses in Forest Analysis. In Advances in computational Intelligence. Advances in Intelligent and Soft Computing (61). Springer-Verlag Berlin, pp. 179-187. ISBN 978-3-642-03155-7
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Official URL: http://link.springer.com/chapter/10.1007/978-3-642-03156-4_18
Abstract
This paper describes a novel stereovision matching approach based on omni-directional images obtained with fish-eye lenses in forest environments. The goal is to obtain a disparity map as a previous step for determining the volume of wood in the imaged area. The interest is focused on the trunks of the trees, due to the irregular distribution of the trunks; the most suitable features are the pixels. A set of six attributes is used for establishing the matching between the pixels in both images of the stereo pair. The final decision about the matched pixel is taken based on the Choquet Fuzzy Integral paradigm, which is a technique well tested for combining classifiers. The use and adjusting of this decision approach to our specific stereo vision matching problem makes the main finding of the paper. The procedure is based on the application of three well known matching constraints. The proposed approach is compared favourably against the usage of simple features and other fuzzy strategy that combines the simple ones.
Item Type: | Book Section |
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Additional Information: | © Springer-Verlag Berlin Heidelberg 2009. |
Uncontrolled Keywords: | Choquet Fuzzy Integral, Fish-Eye Stereo Vision, Stereovision Matching, Omni-Directional Forest Images |
Subjects: | Sciences > Computer science |
ID Code: | 23050 |
Deposited On: | 16 Oct 2013 07:21 |
Last Modified: | 31 Dec 2020 00:01 |
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