A novel feature for registration of oblique aerial images under large viewpoint variations

Resource type
Thesis type
(Thesis) M.A.Sc.
Date created
2013-04-25
Authors/Contributors
Author: Mao, Mao
Abstract
This thesis describes a novel image feature, called 2 Edges and one Corner (2EC), that can be used to establish robust match correspondences between aerial images of urban regions under large projective transformation. As implied in its name, the proposed feature is defined by two line segments and their intersection. The lines are constrained to correspond to the boundaries of building rooftops, while the intersections correspond to the rooftop corners. The specific structure of the proposed feature enables us to utilize both geometrical and image context information surrounded by each feature to robustly establish match correspondences between two or more images. To demonstrate the effectiveness of the proposed feature in the matching problem, test dataset images from Pictometry International Corp. have been utilized. Our experimental results show that an average matching accuracy of over 90% can be achieved. These results are superior comparing to the state of the art, which reports an average matching accuracy of 86.32%.
Document
Identifier
etd7824
Copyright statement
Copyright is held by the author.
Permissions
The author granted permission for the file to be printed, but not for the text to be copied and pasted.
Scholarly level
Supervisor or Senior Supervisor
Thesis advisor: Saeedi, Parvaneh
Member of collection
Attachment Size
etd7824_MMao.pdf 63.02 MB