Quadrant segmentation and ring-like searching based FPGA implementation of ORB matching system for Full-HD video

Tianmin Rao, Takeshi Ikenaga

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Full-HD video has drawn more and more attention in advanced computer vision applications which rely on more details in image. Benefit from high resolution input, local feature based matching system which at base of various vision applications, can also get better performance due to more available information. However, high resolution brings massive data and makes it challenging to achieve real-time and low cost at the same time. This paper proposes an ORB-based matching system for Full-HD video which implemented on FPGA. To improve nonlinear functions and feature steering part of ORB in hardware, the Quadrant Segmentation based orientation detector and Ring-like Searching based feature steering are proposed to make original operation more suitable for hardware. Evaluation shows that the proposed ORB matching system can complete feature extraction and matching for one Full-HD(1920×1080) image within 13.37ms and save almost 75% resources on average in feature extraction part compared with SIFT-based design.

本文言語English
ホスト出版物のタイトルProceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ89-92
ページ数4
ISBN(電子版)9784901122160
DOI
出版ステータスPublished - 2017 7 19
イベント15th IAPR International Conference on Machine Vision Applications, MVA 2017 - Nagoya, Japan
継続期間: 2017 5 82017 5 12

Other

Other15th IAPR International Conference on Machine Vision Applications, MVA 2017
CountryJapan
CityNagoya
Period17/5/817/5/12

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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