conference paper · International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) · 2015
Robust keypoint detection against affine transformation using moment invariants on intrinsic mode function
Yoshimitsu Kuroki, Kosuke Takenaka, Satoru Motomatsu
Cited by 2Abstract and details only
Abstract
Scale Invariant Feature Transform (SIFT) is a method to detect and match invariant feature points on images, and is robust against contrast, rotation, and scale changes. However, SIFT cannot find many correct matching points between affine transformed images because this method employs Gaussian function for scale parameter which specifies a circle area on image planes. In this paper, we propose a method to use Bi-dimensional Empirical Mode Decomposition (BEMD) for keypoint detection, where a given image is decomposed into Intrinsic Mode Functions (IMFs). Our method also employs Affine Moment Invariants (AMIs) instead of SIFT's feature values. As a result, the proposed method detects more matching points than SIFT in a steep affine transformed image.
Cite this paper
Kuroki, Y., Takenaka, K., & Motomatsu, S. (2015). Robust keypoint detection against affine transformation using moment invariants on intrinsic mode function. International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), 403–407. https://doi.org/10.1109/iciibms.2015.7439463
Kuroki, Yoshimitsu, et al. “Robust keypoint detection against affine transformation using moment invariants on intrinsic mode function.” International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), 2015, pp. 403–07, https://doi.org/10.1109/iciibms.2015.7439463.
Kuroki, Yoshimitsu, Kosuke Takenaka, and Satoru Motomatsu. 2015. “Robust keypoint detection against affine transformation using moment invariants on intrinsic mode function.” International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS): 403–07. https://doi.org/10.1109/iciibms.2015.7439463.
Kuroki, Y., Takenaka, K. and Motomatsu, S. (2015) ‘Robust keypoint detection against affine transformation using moment invariants on intrinsic mode function’, International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), pp. 403–407. Available at: https://doi.org/10.1109/iciibms.2015.7439463.
@article{kuroki2015robust,
title = {{Robust keypoint detection against affine transformation using moment invariants on intrinsic mode function}},
author = {Kuroki, Yoshimitsu and Takenaka, Kosuke and Motomatsu, Satoru},
journal = {International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)},
pages = {403--407},
year = {2015},
doi = {10.1109/iciibms.2015.7439463}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.