PEDRO JAVIER
HERRERA CARO
Profesor Titular Universidad
Jesús Manuel de la
Cruz García
Publications by the researcher in collaboration with Jesús Manuel de la Cruz García (12)
2019
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Combining stereovision matching constraints for solving the correspondence problem
Advances in theory and applications of stereo vision (InTech), pp. 89-112
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Segmentation and stereoscopic correspondence in images obtained with omnidirectional projection for forest environments
Advances in stereo vision (InTech), pp. 41-56
2011
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A stereovision matching strategy for images captured with fish-eye lenses in forest environments
Sensors, Vol. 11, Núm. 2, pp. 1756-1783
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Combining Support Vector Machines and simulated annealing for stereovision matching with fish eye lenses in forest environments
Expert Systems with Applications, Vol. 38, Núm. 7, pp. 8622-8631
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Performance analysis of fuzzy aggregation operations for combining classifiers for natural textures in images
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2010
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A stereovision sensor for forest inventories: The matching problem
Proceedings - 1st International Conference on Sensor Device Technologies and Applications, SENSORDEVICES 2010
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Aprendizaje estadístico
Aprendizaje automático (RA-MA), pp. 59-78
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Fuzzy Cognitive Maps applied to computer vision tasks
Studies in Fuzziness and Soft Computing
2009
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A featured-based strategy for stereovision matching in sensors with fish-eye lenses for forest environments
Sensors, Vol. 9, Núm. 12, pp. 9468-9492
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Choquet Fuzzy Integral applied to stereovision matching for fish-eye lenses in forest analysis
Advances in Intelligent and Soft Computing
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Combination of attributes in stereovision matching for fish-eye lenses in forest analysis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Fuzzy multi-criteria decision making in stereovision matching for fish-eye lenses in forest analysis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)