dc.contributor.authorGao, Xintingen_US
dc.date.accessioned2008-09-17T09:48:09Z
dc.date.accessioned2017-07-23T08:31:47Z
dc.date.available2008-09-17T09:48:09Z
dc.date.available2017-07-23T08:31:47Z
dc.date.copyright2007en_US
dc.date.issued2007
dc.identifier.citationGao, X. (2007). Multiscale corner detection based on wavelet transform and scale-space theory. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/4275
dc.description.abstractBeing 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.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
dc.titleMultiscale corner detection based on wavelet transform and scale-space theoryen_US
dc.typeThesisen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.supervisorRonda Venkateswarlu
dc.contributor.supervisorFarook Sattaren_US
dc.description.degreeDOCTOR OF PHILOSOPHY (EEE)en_US


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