Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/4275
Title: Multiscale corner detection based on wavelet transform and scale-space theory
Authors: Gao, Xinting
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2007
Source: Gao, X. (2007). Multiscale corner detection based on wavelet transform and scale-space theory. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: Being the front-end processing of a large amount of computer vision and image processing systems, corner detection is useful and important in the sense that it has a great impact on the following processing and consequently the performance of the whole system. In this thesis, we focus our research on the contour based corner detection (CCD) methods and direct intensity computation based corner detection (DICD) methods. Five algorithms are proposed, which partially or wholly solve three problems, i.e., (1) incomplete information; (2) delocalization; and (3) multiple responses to higher order structures. For the CCD methods, the thesis provides an overview of the existing corner detection methods for contour images covering classi¯cation, comparison and performance evaluation.
URI: https://hdl.handle.net/10356/4275
DOI: 10.32657/10356/4275
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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