Hardware-Software Co-Design of an Image Feature Extraction and Matching Algorithm

Chiang Heng Chien, Chiang Ju Chien, Chen Chien Hsu

研究成果: 書貢獻/報告類型會議貢獻

2 引文 斯高帕斯(Scopus)

摘要

Providing low cost and rich information, visual sensors are becoming the top choice for automatic systems. Particularly in the field of navigations or SLAM technologies, extracting and matching features are the basic aspects. This paper addresses the required computational efficiency, computational resources and power-consumption problem of image feature detection and matching algorithm by designing a hardware-software co-design architecture for the implementation on a field-programmable gate array (FPGA) and a Nios II CPU. Given images data from the Nios II, features are extracted and matched by the scale-invariant feature transform (SIFT) algorithm and a linear exhaustive search (LES) method using an Altera DE2i-150 FPGA, respectively. The matched features are subsequently transferred back from the FPGA to Nios II. To show the effectiveness of the proposed approach, two images with affine transformations are provided. An object tracking system is also developed. Experimental results show that, taking the advantages of parallel computing of an FPGA, the overall computational time and the hardware resources usage of the proposed approach are greatly reduced, compared to a full-software implementation and other existing methods.

原文英語
主出版物標題Proceedings - 2019 2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面37-41
頁數5
ISBN(電子)9781728126623
DOIs
出版狀態已發佈 - 2019 二月
事件2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019 - Singapore, 新加坡
持續時間: 2019 二月 282019 三月 2

出版系列

名字Proceedings - 2019 2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019

會議

會議2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019
國家新加坡
城市Singapore
期間19/2/2819/3/2

    指紋

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Automotive Engineering
  • Control and Optimization

引用此

Chien, C. H., Chien, C. J., & Hsu, C. C. (2019). Hardware-Software Co-Design of an Image Feature Extraction and Matching Algorithm. 於 Proceedings - 2019 2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019 (頁 37-41). [8782443] (Proceedings - 2019 2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICoIAS.2019.00013