Title :
An 81.6 GOPS Object Recognition Processor Based on NoC and Visual Image Processing Memory
Author :
Kim, Donghyun ; Kim, Kwanho ; Kim, Joo-Young ; Lee, Seungjin ; Yoo, Hoi-Jun
Author_Institution :
Korea Adv. Inst. of Sci. & Technol., Daejeon
Abstract :
An 81.6 GOPS object recognition processor is developed by using NoC and visual image processing (VIP) memory. SIFT (scale invariant feature transform) object recognition requires huge computing power and data transactions among tasks. The chip integrates 10 SIMD PEs for data/task level parallelism while the NoC facilitates inter-PE communications. The VIP memory searches local maximum pixel inside a 3times3 window in a single cycle providing 65.6 GOPS. The proposed processor achieves 15.9 fps SIFT feature extraction at 200 MHz.
Keywords :
digital signal processing chips; feature extraction; image recognition; network-on-chip; object recognition; transforms; GOPS object recognition processor; SIMD processing elements; data transactions; feature extraction; frequency 200 MHz; network-on-chip; scale invariant feature transform; visual image processing memory; Computer architecture; Concurrent computing; Energy consumption; Filtering; Image processing; Intelligent robots; Network-on-a-chip; Object recognition; Parallel processing; Vehicle detection;
Conference_Titel :
Custom Integrated Circuits Conference, 2007. CICC '07. IEEE
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-1623-3
Electronic_ISBN :
978-1-4244-1623-3
DOI :
10.1109/CICC.2007.4405769
