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Early visual processing for pattern recognition in natural environments

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2012) 7441 LNCS 543-550
DOI: 10.1007/978-3-642-33275-3_67
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Abstract

In this article, the performance of hierarchical architectures for computer vision of biological inspiration is analyzed. In particular, the role of the lateral geniculate nucleus (LGN) for the robustness in the recognition of ring shaped patterns under gradual changes in illumination was analyzed. Changes in illumination are common in everyday environments and thus, it is a crucial factor to be considered for the recognition of objects in everyday environments. © 2012 Springer-Verlag.

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Matuk Herrera, R. (2012). Early visual processing for pattern recognition in natural environments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7441 LNCS, pp. 543–550). https://doi.org/10.1007/978-3-642-33275-3_67

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