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

Tianmin Rao, Takeshi Ikenaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages89-92
Number of pages4
ISBN (Electronic)9784901122160
DOIs
Publication statusPublished - 2017 Jul 19
Event15th IAPR International Conference on Machine Vision Applications, MVA 2017 - Nagoya, Japan
Duration: 2017 May 82017 May 12

Other

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

Fingerprint

Field programmable gate arrays (FPGA)
Feature extraction
Hardware
Computer vision
Detectors
Costs

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Cite this

Rao, T., & Ikenaga, T. (2017). Quadrant segmentation and ring-like searching based FPGA implementation of ORB matching system for Full-HD video. In Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017 (pp. 89-92). [7986797] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/MVA.2017.7986797

Quadrant segmentation and ring-like searching based FPGA implementation of ORB matching system for Full-HD video. / Rao, Tianmin; Ikenaga, Takeshi.

Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 89-92 7986797.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rao, T & Ikenaga, T 2017, Quadrant segmentation and ring-like searching based FPGA implementation of ORB matching system for Full-HD video. in Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017., 7986797, Institute of Electrical and Electronics Engineers Inc., pp. 89-92, 15th IAPR International Conference on Machine Vision Applications, MVA 2017, Nagoya, Japan, 17/5/8. https://doi.org/10.23919/MVA.2017.7986797
Rao T, Ikenaga T. Quadrant segmentation and ring-like searching based FPGA implementation of ORB matching system for Full-HD video. In Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 89-92. 7986797 https://doi.org/10.23919/MVA.2017.7986797
Rao, Tianmin ; Ikenaga, Takeshi. / Quadrant segmentation and ring-like searching based FPGA implementation of ORB matching system for Full-HD video. Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 89-92
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