Title :
Accelerated Keypoint Extraction
Author :
Remi, T. ; Bernard, M.
Author_Institution :
Inst. Eurecom, Sophia
Abstract :
Keypoints have become a fundamental feature in image and video processing. This article presents a wavelet-inspired structure to speed up the keypoint extraction process. The method restricts the extraction process to high variation areas solely, deemed likely to provide keypoints. The variation is calculated at different scales according to a hierarchical structure inspired from the Haar wavelets. This structure is also used for a fast access to the regions retained for processing. Experimental results are provided to show the efficiency of the method and the influence of the main parameters.
Keywords :
Haar transforms; feature extraction; wavelet transforms; Haar wavelets; accelerated keypoint extraction; image processing; video processing; wavelet-inspired structure; Acceleration; Image analysis; Image coding; Indexing; Lighting; Robots; Robustness; TV; Testing; Video compression; acceleration structure; keypoints extraction; object tracking;
Conference_Titel :
Image Analysis for Multimedia Interactive Services, 2008. WIAMIS '08. Ninth International Workshop on
Conference_Location :
Klagenfurt
Print_ISBN :
978-0-7695-3344-5
Electronic_ISBN :
978-0-7695-3130-4
DOI :
10.1109/WIAMIS.2008.42