Saliency-based keypoint selection for fast object detection and matching ?
A new approach to rank and select keypoints based on their saliency. Saliency is defined in terms of detectability, repeatability and distinctiveness. Keypoint detector strength and its local descriptor discriminating power are considered. Our experiments show the effectiveness of the proposed approach. An application for real-time pose estimation confirms our results.
local descriptors feature selection fast keypoint detection keypoints saliency augmented reality