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Development of an image matching scheme using feature- and area based matching techniques
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)...
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| Format: | Thesis |
| Language: | English |
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Department of Mechanical Engineering
2016
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| _version_ | 1867613239491166208 |
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| access_status_str | Open Access |
| author | Van der Merwe, Nick |
| author2 | Rüther, Heinz |
| author_browse | Rüther, Heinz Van der Merwe, Nick |
| author_facet | Rüther, Heinz Van der Merwe, Nick |
| author_sort | Van der Merwe, Nick |
| collection | Thesis |
| description | 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. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/21341 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:58.612Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | Department of Mechanical Engineering |
| publisherStr | Department of Mechanical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/21341 Development of an image matching scheme using feature- and area based matching techniques Van der Merwe, Nick Rüther, Heinz Engineering 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. 2016-08-18T13:55:06Z 2016-08-18T13:55:06Z 1995 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/21341 eng application/pdf Department of Mechanical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Engineering Van der Merwe, Nick Development of an image matching scheme using feature- and area based matching techniques |
| thesis_degree_str | Doctoral |
| title | Development of an image matching scheme using feature- and area based matching techniques |
| title_full | Development of an image matching scheme using feature- and area based matching techniques |
| title_fullStr | Development of an image matching scheme using feature- and area based matching techniques |
| title_full_unstemmed | Development of an image matching scheme using feature- and area based matching techniques |
| title_short | Development of an image matching scheme using feature- and area based matching techniques |
| title_sort | development of an image matching scheme using feature and area based matching techniques |
| topic | Engineering |
| url | http://hdl.handle.net/11427/21341 |
| work_keys_str_mv | AT vandermerwenick developmentofanimagematchingschemeusingfeatureandareabasedmatchingtechniques |