Feature-based matching in historic repeat photography: an evaluation and assessment of feasibility.

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dc.contributor.authorGat, Christopher
dc.contributor.supervisorBranzan Albu, Alexandra
dc.contributor.supervisorGerman, Daniel M.
dc.date.accessioned2011-08-16T20:07:49Z
dc.date.available2011-08-16T20:07:49Z
dc.date.copyright2011en_US
dc.date.issued2011-08-16
dc.degree.departmentDept. of Computer Scienceen_US
dc.degree.levelMaster of Science M.Sc.en_US
dc.description.abstractThis study reports on the quantitative evaluation of a set of state-of-the-art feature detectors and descriptors in the context of repeat photography. Unlike most related work, the proposed study assesses the performance of feature detectors when intra-pair variations are uncontrolled and due to a variety of factors (landscape change, weather conditions, different acquisition sensors). There is no systematic way to model the factors inducing image change. The proposed evaluation is performed in the context of image matching, i.e. in conjunction with a descriptor and matching strategy. Thus, beyond just comparing the performance of these detectors and descriptors, we also examine the feasibility of feature-based matching on repeat photography. Our dataset consists of a set of repeat and historic images pairs that are representative for the database created by the Mountain Legacy Project www.mountainlegacy.ca.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/3461
dc.languageEnglisheng
dc.language.isoenen_US
dc.rights.tempAvailable to the World Wide Weben_US
dc.subjectfeature matchingen_US
dc.subjectdetectionen_US
dc.subjectdescriptionen_US
dc.subjectdetectorsen_US
dc.subjectdescriptorsen_US
dc.subjectrephotographyen_US
dc.subjectmountain legacy projecten_US
dc.subjectregistrationen_US
dc.subjectHessian-lalplaceen_US
dc.subjectDoGen_US
dc.subjectMSERen_US
dc.subjectSIFTen_US
dc.subjectshape contexten_US
dc.titleFeature-based matching in historic repeat photography: an evaluation and assessment of feasibility.en_US
dc.typeThesisen_US

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