Partial Descriptor Update and Isolated Point Avoidance Based Template Update for High Frame Rate and Ultra-Low Delay Deformation Matching

Yuhao Xu, Tingting Hu, Songlin Du, Takeshi Ikenaga

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

1 Citation (Scopus)

Abstract

High frame rate and ultra-low delay matching system plays an important role in various human-machine interactive applications, which demands better performance in matching deformable and out-of-plane rotating objects. Although many algorithms have been proposed for deformation tracking and matching, few of them are suitable for hardware implementation due to complicated operations and large time consumption. This paper proposes a hardware-oriented template update method for high frame rate and ultra-low delay deformation matching system. In the proposed method, the new template is generated in real time by partially updating the template descriptor and adding new keypoints simultaneously with the matching process in pixels, and incorrect boundary points are avoided when judged as isolated with distance-reachability to solve the problem of template drift. Evaluation results indicate that the proposed method successfully supports the real-time processing of the 784fps and 640× 480 resolution system on field-programmable gate array (FPGA), with a delay of 0.808ms/frame, as well as achieves satisfactory deformation matching results in comparison with other general methods.

Original languageEnglish
Title of host publication2018 24th International Conference on Pattern Recognition, ICPR 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1827-1832
Number of pages6
Volume2018-August
ISBN (Electronic)9781538637883
DOIs
Publication statusPublished - 2018 Nov 26
Event24th International Conference on Pattern Recognition, ICPR 2018 - Beijing, China
Duration: 2018 Aug 202018 Aug 24

Other

Other24th International Conference on Pattern Recognition, ICPR 2018
CountryChina
CityBeijing
Period18/8/2018/8/24

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Xu, Y., Hu, T., Du, S., & Ikenaga, T. (2018). Partial Descriptor Update and Isolated Point Avoidance Based Template Update for High Frame Rate and Ultra-Low Delay Deformation Matching. In 2018 24th International Conference on Pattern Recognition, ICPR 2018 (Vol. 2018-August, pp. 1827-1832). [8545342] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.2018.8545342