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Active Sensor Planning for Multiview Vision Tasks || by Shengyong Chen, Y. F. Li, Jianwei Zhang (auth.), Shengyong Chen, Y. F. Li, Jianwei Zhang, Wanliang Wang (eds.) is a nonfiction available to read on EtoBox.

What is Active Sensor Planning for Multiview Vision Tasks || about?

An active robot system can change its visual parameters in an intentional manner and perform its sensing actions purposefully. A general vision task thus can be performed in an efficient way by means of strategic control of the perception process. The controllable processes include 3D active sensing, sensor configuration and recalibration, automatic sensor placement, and 3D sensing. This book explores these important issues in studying for active visual perception. Vision sensors have limited fields of views and can only "see" a portion of a scene from a single viewpoint. To make the entire object visible, the sensor has to be moved from one place to another around the object to observe all features of interest. The sensor planning presented in this book describes an effective strategy to generate a sequence of viewing poses and sensor settings for optimally completing a perception task. Several methods are proposed to solve the problems in both model-based and nonmodel-based vision tasks. For model-based applications, the method involves determination of the optimal sensor placements and a shortest path through these viewpoints for automatic generation of a perception plan. A topo

Who reads Active Sensor Planning for Multiview Vision Tasks ||?

Author

Shengyong Chen, Y. F. Li, Jianwei Zhang (auth.), Shengyong Chen, Y. F. Li, Jianwei Zhang, Wanliang Wang (eds.)

Publisher

Springer-Verlag Berlin Heidelberg

Published

2008

Language

EN

ISBN

9783540770725

Category

nonfiction

Subjects

Science, Engineering, Computer Science