Development of an image matching scheme using feature- and area based matching techniques

Simple item page
dc.contributor.advisorRüther, Heinzen_ZA
dc.contributor.authorVan der Merwe, Nicken_ZA
dc.date.accessioned2016-08-18T13:55:06Z
dc.date.available2016-08-18T13:55:06Z
dc.date.issued1995en_ZA
dc.description.abstractImage matching is widely considered to be one of the most difficult tasks of a digital photogrammetric system. Traditionally image matching has been approached from either an area based or a feature based point of view. In recent years significant progress has been made in Area Based Matching (ABM) techniques such as Multiphoto Geometrically Constrained Least Squares Matching. Also in the field of Feature Based Matching (FBM) improvements have been made in extracting and matching image features, using for example the Forstner Operator followed by feature matching. Generally, area- and feature based matching techniques have been developed independently from each other. The aim of this research project was to design an automated image matching scheme that combines aspects of Feature Based Matching (FBM) and Area Based Matching (ABM). The reason for taking a hybrid approach is to encapsulate only the advantages of each matching scheme while cancelling out the disadvantages. The approach taken was to combine traditional aspects of ABM in digital photogrammetry with image analysis techniques found more commonly in the area of image processing and specifically machine vision.en_ZA
dc.identifier.apacitationVan der Merwe, N. (1995). <i>Development of an image matching scheme using feature- and area based matching techniques</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Mechanical Engineering. Retrieved from http://hdl.handle.net/11427/21341en_ZA
dc.identifier.chicagocitationVan der Merwe, Nick. <i>"Development of an image matching scheme using feature- and area based matching techniques."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Mechanical Engineering, 1995. http://hdl.handle.net/11427/21341en_ZA
dc.identifier.citationVan der Merwe, N. 1995. Development of an image matching scheme using feature- and area based matching techniques. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Van der Merwe, Nick AB - Image matching is widely considered to be one of the most difficult tasks of a digital photogrammetric system. Traditionally image matching has been approached from either an area based or a feature based point of view. In recent years significant progress has been made in Area Based Matching (ABM) techniques such as Multiphoto Geometrically Constrained Least Squares Matching. Also in the field of Feature Based Matching (FBM) improvements have been made in extracting and matching image features, using for example the Forstner Operator followed by feature matching. Generally, area- and feature based matching techniques have been developed independently from each other. The aim of this research project was to design an automated image matching scheme that combines aspects of Feature Based Matching (FBM) and Area Based Matching (ABM). The reason for taking a hybrid approach is to encapsulate only the advantages of each matching scheme while cancelling out the disadvantages. The approach taken was to combine traditional aspects of ABM in digital photogrammetry with image analysis techniques found more commonly in the area of image processing and specifically machine vision. DA - 1995 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1995 T1 - Development of an image matching scheme using feature- and area based matching techniques TI - Development of an image matching scheme using feature- and area based matching techniques UR - http://hdl.handle.net/11427/21341 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/21341
dc.identifier.vancouvercitationVan der Merwe N. Development of an image matching scheme using feature- and area based matching techniques. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Mechanical Engineering, 1995 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/21341en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Mechanical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherEngineeringen_ZA
dc.titleDevelopment of an image matching scheme using feature- and area based matching techniquesen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
thesis_ebe_1995_van_der_merwe_nick.pdf
Size:
41.04 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
PhD / Doctoral