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dc.contributorMulti-disciplinary Studiesen_US
dc.contributorDepartment of Electronic and Information Engineeringen_US
dc.creatorCheng, Kim-ho-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/3221-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleObject recognition using multi-resolution wavelet transformen_US
dcterms.abstractIn this project, a software system written in C for recognition of planar objects or nearly planar objects in a three-dimensional space obtained by a camera under arbitrary orientation is implemented. The pre-processing steps of segmentation of an image and the parameterization of a contour are assumed to be performed by commonly available packages. Features, which are invariant to affine transformation, are extracted from the contours with the multi-resolution approach by using wavelet. Hence a set of feature points in different resolution levels is obtained. A dissimilarity function is then used in matching objects to their models in the database. This function is calculated only from the extreme points of each level of the features points instead of using all the points. The complete system is then tested by a set of aeroplanes viewed from different angles and experimental results show that the recognition rate is 94 % in most favorite case and over 50 % in average. Discussion on the recognition features is done with comparison on plots of the feature data domain. Besides, case studies on resolution level mismatch is also provided.en_US
dcterms.extent64 leaves : ill. ; 30 cmen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2000en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHOptical pattern recognitionen_US
dcterms.LCSHImage processing -- Digital techniquesen_US
dcterms.LCSHWavelets (Mathematics)en_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/3221