Title :
Initial value diffeomorphic landmark matching and its application shape statistics
Author :
Vailant, M. ; Miller, Michael I. ; Younes, Laurent ; Ceritoglu, C.
Author_Institution :
Johns Hopkins Univ., Baltimore, MD, USA
fDate :
28 Sept.-1 Oct. 2003
Abstract :
Summary form only given. In this work we study the diffeomorphic landmark matching problem central to the emerging field of computational anatomy (2002, Annual Review of Biomedical Engineering) for the study of finite dimensional face orbits. We present a new approach based on recent derivation of a conservation of momentum law for the geodesics of diffeomorphic flow. Once a template is fixed, the space of initial momentum - and Nd finite dimensional space for N d-dimensional landmarks - becomes an appropriate space for studying shape via geodesic flow since the flow at any point along the geodesic is completely determined by the momentum at the origin. We solve for the extremal paths (geodesics) of the kinetic energy by computing its variation with respect to the initial momentum and by applying a gradient descent scheme. Statistical analysis of a landmarked database of 100 faces is presented and we suggest a finite dimensional diffeomorphic active shape model.
Keywords :
differential geometry; face recognition; image matching; statistical analysis; Nd finite dimensional space; Nd-dimensional landmarks; computational anatomy; diffeomorphic flow; finite dimensional diffeomorphic active shape model; finite dimensional face orbits; geodesics; gradient descent scheme; initial value diffeomorphic landmark matching; kinetic energy; landmarked database; momentum law; shape statistics; statistical analysis; Anatomy; Biomedical computing; Biomedical engineering; Geophysics computing; Kinetic energy; Neodymium; Orbits; Shape; Statistical analysis; Statistics;
Conference_Titel :
Statistical Signal Processing, 2003 IEEE Workshop on
Print_ISBN :
0-7803-7997-7
DOI :
10.1109/SSP.2003.1289405