Implementation of real-time object recognition system for home-service robot by integrating SURF and BRISK

Hsuan Lee, Chih Yin Liu, Chih Jui Lin, Chien Feng Huang, Ri Wei Deng, Tzuu Hseng S. Li

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

7 Citations (Scopus)

Abstract

This paper proposes a real-time object recognition systems for recognizing known objects and searching unknown objects for home service robot. The object recognition system is mainly used in recognizing known objects, which combined Compute Unified Device Architecture (CUDA), Speeded Up Robust Features (SURF) detector and Binary Robust Invariant Scalable Keypoints (BRISK) descriptor for improving the computation speed and decreasing the consumption on memory. On the other side, the visual perception system is usually used for searching unknown objects, which calculated the depth differences and found the contours of objects. The experimental results in the laboratory and the competition in robot@home league at RoboCup Japan Open 2013 Tokyo illustrate that the robot can successfully real-time recognize the known objects and search the unknown objects.

Original languageEnglish
Title of host publicationConference Proceedings - 2014 International Conference on System Science and Engineering, ICSSE 2014
PublisherIEEE Computer Society
Pages273-278
Number of pages6
ISBN (Print)9781479943678
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 International Conference on System Science and Engineering, ICSSE 2014 - Shanghai, China
Duration: 2014 Jul 112014 Jul 13

Publication series

NameConference Proceedings - 2014 International Conference on System Science and Engineering, ICSSE 2014

Other

Other2014 International Conference on System Science and Engineering, ICSSE 2014
CountryChina
CityShanghai
Period14-07-1114-07-13

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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