Parisian camera placement for vision metrology
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Optimal Camera Placement for Automated Surveillance Tasks
Journal of Intelligent and Robotic Systems
A tree-structured perception approach for robot operations in modeling of unknown targets
ISCGAV'04 Proceedings of the 4th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
A tree-structured perception approach for robot operations in modeling of unknown targets
AIC'04 Proceedings of the 4th WSEAS International Conference on Applied Informatics and Communications
A nearly optimal sensor placement algorithm for boundary coverage
Pattern Recognition
Machine Vision and Applications
Survey and analysis of multimodal sensor planning and integration for wide area surveillance
ACM Computing Surveys (CSUR)
A sensor planning system for automated headlamp lens inspection
Expert Systems with Applications: An International Journal
Active-Vision for the Autonomous Surveillance of Dynamic, Multi-Object Environments
Journal of Intelligent and Robotic Systems
Design of multimedia surveillance systems
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Automatic sensor placement in a 3D volume
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
An Information Roadmap Method for Robotic Sensor Path Planning
Journal of Intelligent and Robotic Systems
Information-driven sensor path planning by approximate cell decomposition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Design and implementation of a fuzzy-modified ant colony hardware structure for image retrieval
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Optimal camera placement for total coverage
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Develop feedback robot planning method for 3D surface inspection
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Can you see me now? sensor positioning for automated and persistent surveillance
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A new approach to the automatic planning of inspection of 3D industrial parts
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
FGN based telecommunication traffic models
WSEAS Transactions on Computers
Robotics and Computer-Integrated Manufacturing
A nearly optimal algorithm for covering the interior of an Art Gallery
Pattern Recognition
Optimal view path planning for visual SLAM
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Active vision in robotic systems: A survey of recent developments
International Journal of Robotics Research
Optimal positioning of sensors in 3d
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Neural network based 3d model reconstruction with highly distorted stereoscopic sensors
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
A new automatic planning of inspection of 3D industrial parts by means of visual system
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Modeling Coverage in Camera Networks: A Survey
International Journal of Computer Vision
Hi-index | 0.00 |
This paper presents a method for automatic sensor placement for model-based robot vision. In such a vision system, the sensor often needs to be moved from one pose to another around the object to observe all features of interest. This allows multiple three-dimensional (3-D) images to be taken from different vantage viewpoints. The task involves determination of the optimal sensor placements and a shortest path through these viewpoints. During the sensor planning, object features are resampled as individual points attached with surface normals. The optimal sensor placement graph is achieved by a genetic algorithm in which a min-max criterion is used for the evaluation. A shortest path is determined by Christofides algorithm. A Viewpoint Planner is developed to generate the sensor placement plan. It includes many functions, such as 3-D animation of the object geometry, sensor specification, initialization of the viewpoint number and their distribution, viewpoint evolution, shortest path computation, scene simulation of a specific viewpoint, parameter amendment. Experiments are also carried out on a real robot vision system to demonstrate the effectiveness of the proposed method.