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

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2018 24th International Conference on Pattern Recognition, ICPR 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1827-1832
ページ数6
ISBN(電子版)9781538637883
DOI
出版ステータスPublished - 2018 11 26
イベント24th International Conference on Pattern Recognition, ICPR 2018 - Beijing, China
継続期間: 2018 8 202018 8 24

出版物シリーズ

名前Proceedings - International Conference on Pattern Recognition
2018-August
ISSN(印刷版)1051-4651

Other

Other24th International Conference on Pattern Recognition, ICPR 2018
国/地域China
CityBeijing
Period18/8/2018/8/24

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

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