Improving the performance of SIFT using bilateral filter and its application to generic object recognition

Tomoaki Yamazaki, Tetsuya Fujikawa, Jiro Katto

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

    4 Citations (Scopus)

    Abstract

    Feature extraction of images can be applied to image matching, image searching, object recognition, image tracking etc. One of the effective methods to extract features of images is Scale-Invariant Feature Transform (SIFT) [1], In this paper, we indicate problems of SIFT and propose a method to improve its performance by applying Bilateral Filter [2]. In addition, we implement its acceleration by GPGPU (general purpose GPU), apply this method to generic object recognition and perform a comparison experiment. We compare the proposed method with the original method using SIFT and confirm improvement of the identification rate by the proposed method.

    Original languageEnglish
    Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    Pages945-948
    Number of pages4
    DOIs
    Publication statusPublished - 2012
    Event2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto
    Duration: 2012 Mar 252012 Mar 30

    Other

    Other2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
    CityKyoto
    Period12/3/2512/3/30

    Fingerprint

    Object recognition
    Mathematical transformations
    Image matching
    Feature extraction
    Experiments

    Keywords

    • Feature extraction
    • Image edge detection
    • Object recognition

    ASJC Scopus subject areas

    • Signal Processing
    • Software
    • Electrical and Electronic Engineering

    Cite this

    Yamazaki, T., Fujikawa, T., & Katto, J. (2012). Improving the performance of SIFT using bilateral filter and its application to generic object recognition. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 945-948). [6288041] https://doi.org/10.1109/ICASSP.2012.6288041

    Improving the performance of SIFT using bilateral filter and its application to generic object recognition. / Yamazaki, Tomoaki; Fujikawa, Tetsuya; Katto, Jiro.

    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012. p. 945-948 6288041.

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

    Yamazaki, T, Fujikawa, T & Katto, J 2012, Improving the performance of SIFT using bilateral filter and its application to generic object recognition. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings., 6288041, pp. 945-948, 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012, Kyoto, 12/3/25. https://doi.org/10.1109/ICASSP.2012.6288041
    Yamazaki T, Fujikawa T, Katto J. Improving the performance of SIFT using bilateral filter and its application to generic object recognition. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012. p. 945-948. 6288041 https://doi.org/10.1109/ICASSP.2012.6288041
    Yamazaki, Tomoaki ; Fujikawa, Tetsuya ; Katto, Jiro. / Improving the performance of SIFT using bilateral filter and its application to generic object recognition. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012. pp. 945-948
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