Sensors 2011, 11(2), 1756-1783; doi:10.3390/s110201756
Article

A Stereovision Matching Strategy for Images Captured with Fish-Eye Lenses in Forest Environments

1 Department of Computer Architecture and Automatic Control, Faculty of Computer Science, Complutense University, 28040 Madrid, Spain 2 Department of Software Engineering and Artificial Intelligence, Faculty of Computer Science, Complutense University, 28040 Madrid, Spain
* Author to whom correspondence should be addressed.
Received: 21 December 2010; in revised form: 12 January 2011 / Accepted: 27 January 2011 / Published: 31 January 2011
(This article belongs to the Special Issue Sensors in Agriculture and Forestry)
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Abstract: We present a novel strategy for computing disparity maps from hemispherical stereo images obtained with fish-eye lenses in forest environments. At a first segmentation stage, the method identifies textures of interest to be either matched or discarded. This is achieved by applying a pattern recognition strategy based on the combination of two classifiers: Fuzzy Clustering and Bayesian. At a second stage, a stereovision matching process is performed based on the application of four stereovision matching constraints: epipolar, similarity, uniqueness and smoothness. The epipolar constraint guides the process. The similarity and uniqueness are mapped through a decision making strategy based on a weighted fuzzy similarity approach, obtaining a disparity map. This map is later filtered through the Hopfield Neural Network framework by considering the smoothness constraint. The combination of the segmentation and stereovision matching approaches makes the main contribution. The method is compared against the usage of simple features and combined similarity matching strategies.
Keywords: fish-eye stereovision matching; fuzzy clustering; Bayesian classifier; weighted fuzzy similarity; Hopfield neural networks; texture classification; fish-eye lenses; hemispherical forest images

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MDPI and ACS Style

Herrera, P.J.; Pajares, G.; Guijarro, M.; Ruz, J.J.; Cruz, J.M. A Stereovision Matching Strategy for Images Captured with Fish-Eye Lenses in Forest Environments. Sensors 2011, 11, 1756-1783.

AMA Style

Herrera PJ, Pajares G, Guijarro M, Ruz JJ, Cruz JM. A Stereovision Matching Strategy for Images Captured with Fish-Eye Lenses in Forest Environments. Sensors. 2011; 11(2):1756-1783.

Chicago/Turabian Style

Herrera, Pedro Javier; Pajares, Gonzalo; Guijarro, María; Ruz, José J.; Cruz, Jesús M. 2011. "A Stereovision Matching Strategy for Images Captured with Fish-Eye Lenses in Forest Environments." Sensors 11, no. 2: 1756-1783.

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