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Additional resources for Vision Systems: Applications
1996) A Matlab routine for function maximization using Genetic Algorithm. Matlab Codes: GA. , Tsuboi, T. & Wada, T. (2001) Robust grasping manipulation of deformable objects, Proceedings of the IEEE International Conference on Assembly and Task Planning, pp. 411-416, ISBN 07803-7004. , Saxena, A. & Dutta, A. (2006). 1-8, ISBN 07918-3784. , Dutta, A. & Venkatesh K. S. (2006). Efficient continuous re-grasp planning for moving and deforming planar objects, Proceedings of the IEEE International Conference on Robotics and Automation, pp.
Sensitivities of the visual servoing controller along the optical axis of the central wide-angle camera corresponding to the tasks in Figure 12 46 Vision Systems: Applications Figure 13 shows the sensitivity (szvz) of the visual controller for all three tasks along the optical axis of the wide-angle camera. It can be noted that the multi-camera strategies result in a better sensitivity of the controller compared to the wide-angle task. Summarized, the simulations clearly show the benefits of the proposed multi-camera control strategies for multi-focal vision systems: an exploitation of the field of view and sensitivity characteristics in order to achieve improved control performance and a lower variability of the performance by switching of individual vision devices.
G. in order to be able to perceive activities or structures of potential interest in the local surroundings. g. localization accuracy, or examine objects of interest. Potential target systems and applications cover the whole range of machine vision from visual perception over active vision and vision-based control to higher-level attention functions. This chapter is concerned with multi-focal vision on the vision-based feedback control level. Novel vision-based control concepts for multi-focal active vision systems are presented.