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https://hdl.handle.net/2440/67307
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Type: | Conference paper |
Title: | Corner detection of contour images using spectral clustering |
Author: | Li, X. Hu, W. Zhang, Z. |
Citation: | 2007 IEEE International Conference on Image Processing : ICIP 2007 : Proceedings, vol. 3 / pp. 37-40 |
Publisher: | IEEE |
Publisher Place: | Online |
Issue Date: | 2007 |
ISBN: | 1424414377 |
Conference Name: | IEEE International Conference on Image Processing (14th : 2007 : San Antonio, Texas) |
Statement of Responsibility: | Xi Li, Weiming Hu, Zhongfei Zhang |
Abstract: | Corner detection plays an important role in object recognition and motion analysis. In this paper, we propose a hierarchical corner detection framework based on spectral clustering (SC). The framework consists of three stages: contour smoothing, corner cell extraction and corner localization. In the contour smoothing stage, wavelet decomposition is imposed on the raw contour to reduce noise. In the corner cell extraction stage, several atomic corner cells are obtained by SC. In the corner localization stage, the corner points of each corner cell are located by the corner locator based on the kernel-weighted cosine curvature measure. Experimental results demonstrate the superiority of our framework. |
Keywords: | corner detection spectral clustering mean shift |
Rights: | ©2007 IEEE |
DOI: | 10.1109/ICIP.2007.4379240 |
Published version: | http://dx.doi.org/10.1109/icip.2007.4379240 |
Appears in Collections: | Aurora harvest 5 Computer Science publications |
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