Active Visual Inference of Surface Shape [electronic resource] / by Roberto Cipolla.

By: Cipolla, Roberto [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Computer Science ; 1016Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1996Description: XII, 196 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540485223Subject(s): Computer science | Artificial intelligence | Computer vision | Optical pattern recognition | Geometry | Computer Science | Image Processing and Computer Vision | Artificial Intelligence (incl. Robotics) | Pattern Recognition | Control Engineering | GeometryAdditional physical formats: Printed edition:: No titleDDC classification: 006.6 | 006.37 LOC classification: TA1637-1638TA1637-1638Online resources: Click here to access online
Contents:
Surface shape from the deformation of apparent contours -- Deformation of apparent contours — Implementation -- Qualitative shape from images of surface curves -- Orientation and time to contact from image divergence and deformation -- Conclusions.
In: Springer eBooksSummary: This monograph is devoted to the problem of inferring geometric information about arbitrarily curved surfaces from visual cues; this is a central problem in computer vision with immediate relevance for robot manipulation and navigation. The author develops computational theories and techniques relating visual information arising from viewer movements to the differential geometry of visible surfaces. The theories developed have been implemented and tested using a real-time tracking system based on deformable contours. Applications of the techniques to geometric modelling, obstacle avoidance, navigation, and object manipulation are presented.
Item type: E-BOOKS
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Surface shape from the deformation of apparent contours -- Deformation of apparent contours — Implementation -- Qualitative shape from images of surface curves -- Orientation and time to contact from image divergence and deformation -- Conclusions.

This monograph is devoted to the problem of inferring geometric information about arbitrarily curved surfaces from visual cues; this is a central problem in computer vision with immediate relevance for robot manipulation and navigation. The author develops computational theories and techniques relating visual information arising from viewer movements to the differential geometry of visible surfaces. The theories developed have been implemented and tested using a real-time tracking system based on deformable contours. Applications of the techniques to geometric modelling, obstacle avoidance, navigation, and object manipulation are presented.

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