Titlebook: Computer Vision Systems; 8th International Co James L. Crowley,Bruce A. Draper,Monique Thonnat Conference proceedings 2011 Springer-Verlag

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https://doi.org/10.1007/978-3-319-58325-9ps are better suited to pick up task-relevant structures in robotic applications. Moreover, having true probabilities rather than arbitrarily scaled saliency measures allows for deeper, semantically meaningful integration with other parts of the overall system.

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genesis

Knowing What Happened - Automatic Documentation of Image Analysis Processesa and corresponding parameter settings. Unfortunately such documentation tasks often enforce extensive and error prone manual activities by the user. To overcome these problems we present ., an approach for fully automatic documentation of data analysis procedures. Based on an unified operator inter

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Efficient Use of Geometric Constraints for Sliding-Window Object Detection in Videoation of the space of sliding-window locations that correspond to geometrically valid object detections, we derive a general algorithm for incorporating ground plane constraints directly into the detector computation. Our approach is indifferent to the choice of detection algorithm and can be applie

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acrophobia

A Quantitative Comparison of Speed and Reliability for Log-Polar Mapping Techniquesssing of the visual signal is achieved in the fovea, and, at the same time, a coarse computation in the periphery provides enough information to detect new saliences on which to bring the focus of attention. In this work, different techniques to implement the blind-spot model for the log-polar mappi