Browsing by Author "Chen, Jiun-Yen"

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Fast SIFT Design for Real-Time Visual Feature Extraction
(2013-08-01)
Chiu, Liang-Chi
;
Chang, Tian-Sheuan
;
Chen, Jiun-Yen
;
Chang, Nelson Yen-Chung
;
電子工程學系及電子研究所
Visual feature extraction with scale invariant feature transform (SIFT) is widely used for object recognition. However, its real-time implementation suffers from long latency, heavy computation, and high memory storage because of its frame level computation with iterated Gaussian blur operations. Thus, this paper proposes a layer parallel SIFT (LPSIFT) with integral image, and its parallel hardware design with an on-the-fly feature extraction flow for real-time application needs. Compared with the original SIFT algorithm, the proposed approach reduces the computational amount by 90% and memory usage by 95%. The final implementation uses 580-K gate count with 90-nm CMOS technology, and offers 6000 feature points/frame for VGA images at 30 frames/s and similar to 2000 feature points/frame for 1920x1080 images at 30 frames/s at the clock rate of 100 MHz.