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Download Active Sensor Planning for Multiview Vision Tasks by Shengyong Chen, Y. F. Li, Jianwei Zhang, Wanliang Wang PDF

By Shengyong Chen, Y. F. Li, Jianwei Zhang, Wanliang Wang

This exact ebook explores the real concerns in learning for lively visible conception. The book’s 11 chapters draw on fresh very important paintings in robotic imaginative and prescient over ten years, really within the use of latest strategies. Implementation examples are supplied with theoretical tools for checking out in a true robotic process. With those optimum sensor making plans options, this e-book will supply the robotic imaginative and prescient method the adaptability wanted in lots of useful functions.

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E. model-based and non-model-based vision tasks. About 20 years ago, Bajcsy discussed the important concept of active perception (Bajcsy 1988). Together with other researchers” initial contributions at that time, the new concept (compared with the Marr paradigm in 1982) on active perception, and consequently the sensor planning problem, was thus issued in vision research. The difference between the concepts of active perception and the Marr paradigm is that the former considers vision perception as the intentional action of the mind but the latter considers it as the procedural process of matter.

14. The 3D measurement is based on the principle of triangulation. If a beam of light is cast, and viewed obliquely, the distortions in the beam line can be translated into height variations. The correspondence problem is avoided since the triangulation is carried out by intersecting the two light rays generated from the projector and seen by the camera. 24 Chapter 2 Active Vision Sensors Fig. 14. Setup of stripe light vision system The projector is controllable by a computer to select a specific light pattern.

The two methods of stereo vision and stripe light vision have both been summarized in this chapter. To make the vision system flexible for perceiving objects at varying distances and sizes, the relative position between the projector and the camera needs to be changeable, leading to reconfiguration of the system. A self-recalibration method for such a reconfigurable system needs to be developed to determine the relative matrix between the projector and the camera, which is mainly concerned in this chapter.

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