Automatic Sensor Placement from Vision Task Requirements
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special Issue on Industrial Machine Vision and Computer Vision Technology:8MPart
Machine vision
Automatic sensor placement for accurate dimensional inspection
Computer Vision and Image Understanding
Computing Occlusion-Free Viewpoints
IEEE Transactions on Pattern Analysis and Machine Intelligence
An adaptive framework for sensor planning in a coordinated multi-agent environment
An adaptive framework for sensor planning in a coordinated multi-agent environment
Parisian camera placement for vision metrology
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Active vision in robotic systems: A survey of recent developments
International Journal of Robotics Research
Automated photogrammetric network design using the parisian approach
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
| Hi-index | 0.00 |
Though based on rigorously developed ideas from imaginggeometry, viewpoint evaluation in the active areaof camera placement planning research still relies on theintuition and creativity of researchers for the formulationof objective measures. In this paper, a comparativestudy of five different viewpoint evaluation functions ispresented. All five functions are based on a similar setof imaging requirements and considerations but each isunique in its formulation, and in some cases, in its objective.Functional behaviour and performance for thevision task of model-based inspectional coverage arestudied quantitatively and qualitatively.