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Titlebook: Biologically Motivated Computer Vision; First IEEE Internati Seong-Whan Lee,Heinrich H. Bülthoff,Tomaso Poggio Conference proceedings 2000

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New Eyes for Shape and Motion Estimationantage of the full field of view (FOV) constraints that insects use. In this paper, we develop a new ego-motion algorithm for a rigidly mounted set of cameras undergoing arbitrary rigid motion. This egomotion algorithm combines the unambiguous components of the motion computed by each separate camer
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Top-Down Attention Control at Feature Space for Robust Pattern Recognitionon system consists of local feature extractors and a multi-layer Perceptron (MLP) classifier. An attention layer is added just in front of the multi-layer Perceptron. Attention gains are adjusted to cope with the top-down attention process and ellucidate expected input features. After attention adap
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A Model for Visual Camouflage Breaking image has a flat intensity function rather than a convex intensity function. This implies that there might exist predators who can detect 3D objects based on the convexity of the intensity function. In this paper, we suggest a mathematical model which describes a possible explanation of this detect
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Real-Time Visual Tracking Insensitive to Three-Dimensional Rotation of Objectsmage processing, and so on. Especially, a fast and reliable visual tracking is important since the performance of visual tracking determines the reliability and real-time characteristics of overall system. It is not easy in visual tracking, however, to estimate the configuration of a target object i
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Dynamic Vergence Using Disparity Fluxright eyes. To simulate this on a binocular robotic camera head, we propose a new control model for vergence movement using disparity flux. Experimental results showed that this model is efficient in controlling vergence movement in various environments. When the perception-action cycle is short eno
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