Title Information
Title
The Differential Geometry of Landmark Shape Manifolds: Metrics, Geodesics, and Curvature
Name: Personal
Name Part
Micheli, Mario
Role
Role Term: Text
creator
Origin Information
Copyright Date (keyDate="yes", encoding="w3cdtf")
2008
Physical Description
Extent
xiii, 164 p.
digitalOrigin
born digital
Note
Thesis (Ph.D.) -- Brown University (2008)
Name: Personal
Name Part
Mumford, David
Role
Role Term: Text
director
Name: Personal
Name Part
Geman, Alan
Role
Role Term: Text
reader
Name: Personal
Name Part
Michor, Peter
Role
Role Term: Text
reader
Name: Corporate
Name Part
Brown University. Applied Mathematics
Role
Role Term: Text
sponsor
Genre (aat)
theses
Abstract
The study of shapes and their similarities is central in computer vision, in that it allows to recognize and classify objects from their representation. One has the interest of defining a distance function between shapes, which both embodies the meaning of similarity between shapes for the application and task that one has in mind, and is at the same time mathematically sound and treatable. In recent years the use of differential-geometric techniques for the study of shape deformation has become popular in the field of pattern analysis: the central idea is to endow "shape spaces" with the structure of a Riemannian manifold, so that one can talk about length of a path, geodesic distance, Euler-Lagrange equations, et cetera; however, the geometry and in particular the curvature of shape manifolds have remained, until very recently, largely unexplored. This thesis first introduces a class of Riemannian metrics on the shape space of landmark points that arise from fluid flow ideas, illustrating the structure of the geodesic equations that derive from such metrics. The central part of this work consists in the computation of the Riemannian curvature tensor and sectional for the landmarks manifold, which first necessitates solving the highly non-trivial problem of expressing sectional curvature in terms of the partial derivatives of the cometric tensor. The effects of curvature on the qualitative dynamics of landmarks and are then explored, for example verifying the existence of conjugate points in regions of positive curvature and the divergence of geodesics on regions of negative curvature. Finally, the potential application of the results to the statistical analysis of medical images is briefly discussed.
Subject (Local)
Topic
Differential Geometry
Subject (Local)
Topic
Shape Spaces
Subject (Local)
Topic
Landmarks
Subject (FAST) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/940919")
Topic
Geometry, Differential
Subject (FAST) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/872687")
Topic
Computer vision
Record Information
Record Content Source (marcorg)
RPB
Record Creation Date (encoding="iso8601")
20091218
Language
Language Term: Code (ISO639-2B)
eng
Language Term: Text
English
Identifier: DOI
10.7301/Z01834V4
Access Condition: rights statement (href="http://rightsstatements.org/vocab/InC/1.0/")
In Copyright
Access Condition: restriction on access
Collection is open for research.
Type of Resource (primo)
dissertations