Feature tracking and pattern registration

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dc.contributor.advisorHerbst, B. M.en_ZA
dc.contributor.advisorDu Preez, J. A.en_ZA
dc.contributor.authorWagener, Dirk Wolframen_ZA
dc.contributor.otherStellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering.en_ZA
dc.date.accessioned2012-08-27T11:35:28Z
dc.date.available2012-08-27T11:35:28Z
dc.date.issued2003-11
dc.descriptionThesis (MScEng) -- Stellenbosch University, 2003.en_ZA
dc.description.abstractENGLISH ABSTRACT: The video-based computer vision patient positioning system that is being developed at iThemba Laboratories, relies on the accurate, robust location, identification and tracking of a number of markers on the patient's mask. The precision requirements are demanding - a small error in the location of the markers leads to an inaccurate positioning of the patient, which could have fatal consequences. In this thesis we discuss the contsruction of suitable markers, their identification with subpixel accuracy, as well as a robust tracking algorithm. The algorithms were implemented and tested on real data. We also note and give examples of other applications, most notably 2D human face tracking and the 3D tracking of a moving person.en_ZA
dc.description.abstractAFRIKAANSE OPSOMMING: Die video-gebaseerde rekenaarvisie pasiënt posisionerings stelsel wat by iThemba Laboratoriums ontwikkel word, maak staat op die akkurate opsporing, identifikasie en volging van 'n stel merkers op die pasiënt se masker. Die akkuraatheids voorwaardes is besonders streng - selfs 'n klein fout in die lokasie vandie merkers sal lei tot die onakkurate posisionering van die pasiënt, wat dodelike gevolge kan hê. In hierdie tesis bespreek ons die konstruksie van geskikte merkers, die identifikasie van die merkers tot op subbeeldingselement vlak en ook die akkurate volging van die merkers. Die algoritmes is op regte data getoets. Ander toepassings soos 2D en 3D menlike gesigs-volging word ook kortliks bespreek.af_ZA
dc.format.extent95 leaves : ill.
dc.identifier.urihttp://hdl.handle.net/10019.1/53424
dc.language.isoen_ZA
dc.publisherStellenbosch : Stellenbosch University
dc.rights.holderStellenbosch University
dc.subjectImage processing
dc.subjectHuman face recognition (Computer science)
dc.subjectDissertations -- Electronic engineering
dc.subjectTheses -- Electronic engineeringen_ZA
dc.titleFeature tracking and pattern registrationen_ZA
dc.typeThesisen_ZA
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