Fast Sum of Absolute Differences Visual Landmark Detector
This paper presents various optimisations that can be applied to the Sum of Absolute Differences (SAD) correlation algorithm for automated landmark detection. This has applications in mobile robotic navigation and mapping. We show how some assumptions about the environment and the generic form of strong landmarks selected by the SAD correlation algorithm have led to the development of an algorithm to enable near real time selection of strong landmarks from visual information. The landmarks that...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the 2004 IEEE International Conference on Robotics and Automation|
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