Skip navigation
Skip navigation

3D shape matching and registration : a probabilistic perspective

Xiao, Pengdong


Dense correspondence is a key area in computer vision and medical image analysis. It has applications in registration and shape analysis. In this thesis, we develop a technique to recover dense correspondences between the surfaces of neuroanatomical objects over heterogeneous populations of individuals. We recover dense correspondences based on 3D shape matching. In this thesis, the 3D shape matching problem is formulated under the framework of Markov Random Fields (MRFs). We represent the...[Show more]

CollectionsOpen Access Theses
Type: Thesis (PhD)


File Description SizeFormat Image
b25698710_Xiao_Pengdong.pdf37.17 MBAdobe PDFThumbnail

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  27 November 2018/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator