Camera rotation recovery from vanishing point matching

Simple item page
dc.contributor.authorLeung, John Chung Honen_US
dc.date.accessioned2024-08-14T21:03:23Z
dc.date.available2024-08-14T21:03:23Z
dc.date.copyright1996en_US
dc.date.issued1996
dc.degree.departmentDepartment of Mechanical Engineering
dc.degree.levelMaster of Applied Science M.A.Sc.en
dc.description.abstractRecovering camera rotations is an important operation of any stereo vision system and photograrnmetric work. This thesis examines the method of recovering camera rotations using matched vanishing points between two images. Due to imperfection of automated vanishing point detection algorithms, natural line intersections can be mistaken as vanishing points. These false vanishing points can cause severe difficulties in automated vanishing point matching algorithms. This thesis examines the use of an invariant property exhibited by a group of true vanishing points to perform the matching. In this thesis, relaxation labelling is used to match vanishing points. The method performed successfully recovering camera rotations from matched vanishing points. The method was also useful in discriminating true and false vanishing points resulting from the imperfection of automated vanishing point detection techniques.
dc.format.extent108 pages
dc.identifier.urihttps://hdl.handle.net/1828/18635
dc.rightsAvailable to the World Wide Weben_US
dc.titleCamera rotation recovery from vanishing point matchingen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
LEUNG_John_Chung_MSC_1996_694206.pdf
Size:
12.11 MB
Format:
Adobe Portable Document Format
Download

Collections

Electronic Theses and Dissertations (ETD)
 
University of Victoria Libraries

We acknowledge and respect the Lək̓ʷəŋən (Songhees and Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day.