Feature tracking and pattern registration

[摘要] ENGLISH 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.

[发布机构] Stellenbosch University