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Performance Evaluation of Local Descriptors for Affine Invariant Region Detector

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Computer Vision - ACCV 2014 Workshops (ACCV 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9008))

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Abstract

Local feature descriptors are widely used in many computer vision applications. Over the past couple of decades, several local feature descriptors have been proposed which are robust to challenging conditions. Since they show different characteristics in different environment, it is necessary to evaluate their performance in an intensive and consistent manner. However, there has been no relevant work that addresses this problem, especially for the affine invariant region detectors which are popularly used in object recognition and classification. In this paper, we present a useful and rigorous performance evaluation of local descriptors for affine invariant region detector, in which MSER (maximally stable extremal regions) detector is employed. We intensively evaluate local patch based descriptors as well as binary descriptors, including SIFT (scale invariant feature transform), SURF (speeded up robust features), BRIEF (binary robust independent elementary features), FREAK (fast retina keypoint), Shape descriptor, and LIOP (local intensity order pattern). Intensive evaluation on standard dataset shows that LIOP outperforms the other descriptors in terms of precision and recall metric.

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Notes

  1. 1.

    http://www.opencv.org.

  2. 2.

    http://www.vlfeat.org.

  3. 3.

    http://cvlab.epfl.ch/data/dsr.

  4. 4.

    http://vision.caltech.edu/pmoreels/Datasets/TurntableObjects/.

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Acknowledgement

This work was supported by the IT R&D program of MSIP/ KEIT. [10047078, 3D reconstruction technology development for scene of car accident using multi view black box image].

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Authors and Affiliations

  1. Department of Information and Communication Engineering, Inha University, 100 Inha-ro, Incheon, 402-751, Korea

    Man Hee Lee & In Kyu Park

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  1. Man Hee Lee
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  2. In Kyu Park
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Correspondence to In Kyu Park .

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Editors and Affiliations

  1. Center for Visual Information Technology, International Institute of Information Technology, Hyderabad, India

    C.V. Jawahar

  2. Institue of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Shiguang Shan

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Lee, M.H., Park, I.K. (2015). Performance Evaluation of Local Descriptors for Affine Invariant Region Detector. In: Jawahar, C., Shan, S. (eds) Computer Vision - ACCV 2014 Workshops. ACCV 2014. Lecture Notes in Computer Science(), vol 9008. Springer, Cham. https://doi.org/10.1007/978-3-319-16628-5_45

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  • DOI: https://doi.org/10.1007/978-3-319-16628-5_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16627-8

  • Online ISBN: 978-3-319-16628-5

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