Title :
Overview of approaches for accelerating scale invariant feature detection algorithm
Author :
Zhang, Jing ; Sang, Hongshi ; Shen, Xubang
Author_Institution :
Nat. Key Lab. of Sci. & Technol. on Multi-spectral Inf. Process., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
SIFT (Scale Invariant Feature Transform) is one of most popular approach for feature detection and matching. Many parallelized algorithms have been proposed to accelerate SIFT to apply into real-time systems. This paper divides the researches into three different categories, that is, optimizing parallel algorithms based on general purpose multi-core processors, designing customized multi-core processor dedicated for SIFT and implementing SIFT based FPGA (Field Programmable Gate Arrays). Overview of the three type researches and analysis of task-level parallelism are presented in this paper.
Keywords :
feature extraction; field programmable gate arrays; image matching; multiprocessing systems; parallel algorithms; transforms; FPGA; feature matching; field programmable gate array; general purpose multicore processor; parallelized algorithm; real-time system; scale invariant feature detection algorithm; scale invariant feature transform; task-level parallelism; Feature extraction; Field programmable gate arrays; Multicore processing; Parallel algorithms; Pixel; FPGA; GPU; SIFT;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5778312
