article · Japanese Journal of Applied Physics · 2012
Efficient Image-Vector-Generation Processor for Edge-Based Complementary Feature Representations
Naoya Yamashita, Tadashi Shibata
Cited by 1Abstract and details only
Abstract
A digital processor dedicated to edge-based image vector generation has been developed aiming at real-time image recognition. The processor consists of an on-chip memory and 16 single instruction multiple data (SIMD) processing elements. The capacity of the on-chip memory as well as the overhead for starting the processing have been minimized by introducing a seamless data transferring scheme from memory to processing elements. The 16 SIMD processing elements work together either as accumulators or as shift registers, thus achieving a very efficient generation of two different kinds of feature vector: projected principal-edge distribution (PPED)[3,4] and averaged principal-edge distribution (APED).[5] Concurrent use of these two vectors is shown to be very important for robust image recognition.[5] The chip was fabricated using 0.18-µm complementary metal oxide semiconductor (CMOS) technology and the generation of 64-dimension PPED and APED vectors at 84.7 and 83.9 fps, respectively, from video graphics array (VGA) size images was demonstrated at 62.5 MHz.
Cite this paper
Yamashita, N., & Shibata, T. (2012). Efficient Image-Vector-Generation Processor for Edge-Based Complementary Feature Representations. Japanese Journal of Applied Physics, 51(2S), 02BE05. https://doi.org/10.1143/jjap.51.02be05
Yamashita, Naoya, and Tadashi Shibata. “Efficient Image-Vector-Generation Processor for Edge-Based Complementary Feature Representations.” Japanese Journal of Applied Physics, vol. 51, no. 2S, 2012, p. 02BE05, https://doi.org/10.1143/jjap.51.02be05.
Yamashita, Naoya, and Tadashi Shibata. 2012. “Efficient Image-Vector-Generation Processor for Edge-Based Complementary Feature Representations.” Japanese Journal of Applied Physics 51 (2S): 02BE05. https://doi.org/10.1143/jjap.51.02be05.
Yamashita, N. and Shibata, T. (2012) ‘Efficient Image-Vector-Generation Processor for Edge-Based Complementary Feature Representations’, Japanese Journal of Applied Physics, 51(2S), p. 02BE05. Available at: https://doi.org/10.1143/jjap.51.02be05.
@article{yamashita2012efficient,
title = {{Efficient Image-Vector-Generation Processor for Edge-Based Complementary Feature Representations}},
author = {Yamashita, Naoya and Shibata, Tadashi},
journal = {Japanese Journal of Applied Physics},
volume = {51},
number = {2S},
pages = {02BE05},
year = {2012},
doi = {10.1143/jjap.51.02be05}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.