Abstract
Robot navigation relies on a robust and real-time visual perception system to understand the surrounding environment. This paper describes a fast visual landmark search and recognition mechanism for real-time robotics applications. The mechanism models two stages of visual perception named preattentive and attentive stages. The pre-attentive stage provides a global guided search by identifying regions of interest, which is followed by the attentive stage for landmark recognition. The results show the mechanism validity and applicability to autonomous robot applications.
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© 2004 Springer-Verlag Berlin Heidelberg
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Do, Q.V., Lozo, P., Jain, L. (2004). A Fast Visual Search and Recognition Mechanism for Real-Time Robotics Applications. In: Webb, G.I., Yu, X. (eds) AI 2004: Advances in Artificial Intelligence. AI 2004. Lecture Notes in Computer Science(), vol 3339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30549-1_82
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DOI: https://doi.org/10.1007/978-3-540-30549-1_82
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24059-4
Online ISBN: 978-3-540-30549-1
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