Log-Spiral Keypoint: A Robust Approach toward Image Patch Matching
Joint Authors
Paek, Kangho
Liu, Zhongwei
Kim, Hun
Yao, Min
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-05
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Matching of keypoints across image patches forms the basis of computer vision applications, such as object detection, recognition, and tracking in real-world images.
Most of keypoint methods are mainly used to match the high-resolution images, which always utilize an image pyramid for multiscale keypoint detection.
In this paper, we propose a novel keypoint method to improve the matching performance of image patches with the low-resolution and small size.
The location, scale, and orientation of keypoints are directly estimated from an original image patch using a Log-Spiral sampling pattern for keypoint detection without consideration of image pyramid.
A Log-Spiral sampling pattern for keypoint description and two bit-generated functions are designed for generating a binary descriptor.
Extensive experiments show that the proposed method is more effective and robust than existing binary-based methods for image patch matching.
American Psychological Association (APA)
Paek, Kangho& Yao, Min& Liu, Zhongwei& Kim, Hun. 2015. Log-Spiral Keypoint: A Robust Approach toward Image Patch Matching. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1057703
Modern Language Association (MLA)
Paek, Kangho…[et al.]. Log-Spiral Keypoint: A Robust Approach toward Image Patch Matching. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1057703
American Medical Association (AMA)
Paek, Kangho& Yao, Min& Liu, Zhongwei& Kim, Hun. Log-Spiral Keypoint: A Robust Approach toward Image Patch Matching. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1057703
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057703