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One of the various human sensory capabilities is to identify the direction of perceived sounds. The goal of this work is to study sound source localization in three dimensions using some of the most important cues the human uses. Having robotics as a major application, the approach involves a compact sensor structure that can be placed on a mobile platform.(More)
A sensory mapping method, called “Staggered Hierarchical Mapping (SHM),” and its developmental algorithm are described in this paper. SHM is a model motivated by human early visual pathways including processing performed by the retina, Lateral Geniculate Nucleus (LGN) and the primary visual cortex. The work reported here concerns not only the design of such(More)
1 Comprehensive visual learning is the treatment of theories and techniques for computer vision systems to automatically learn to understand comprehensive visual information with minimal human-imposed rules about the visual world. This article discusses some major performance diiculties encountered by currently prevailing approaches to computer vision and(More)
Identifying a human individual from his or her face is one of the most nonin-trusive modalities in biometrics. However, it is also one of the most challenging ones. This chapter discusses why it is challenging and the factors that a practitioner can take advantage of in developing a practical face recognition system. Some major existing approaches are(More)
Parallel implementations of two computer vision algorithms on distributed cluster platforms are described. The rst algorithm is a square-error data clustering method whose parallel implementation is based on the well-known sequential CLUSTER program. The second algorithm is a motion parameter estimation algorithm used to determine correspondence between two(More)
Veri cation for Hand Sign Recognition Yuntao Cui and John J. Weng Department of Computer Science Michigan State University East Lansing, MI 48824, USA E-mail: fcui,wengg@cps.msu.edu Abstract This paper presents a prediction-and-veri cation segmentation scheme using attention images from multiple xations. A major advantage of this scheme is that it can(More)