Title
Statistical Shape Analysis Of Multi-Object Complexes
Abstract
An important goal of statistical shape analysis is the discrimination between populations of objects, exploring group differences in morphology not explained by standard volumetric analysis. Certain applications additionally require analysis of objects in their embedding context by joint statistical analysis of sets of interrelated objects. In this paper, we present a framework for discriminant analysis of populations of 3-D multi-object sets. In view of the driving medical applications, a skeletal object parametrization of shape is chosen since it naturally encodes thickening, bending and twisting. In a multi-object setting, we not only consider a joint analysis of sets of shapes but also must take into account differences in pose. Statistics on features of medial descriptions and pose parameters, which include rotational frames and distances, uses a Riemannian symmetric space instead of the standard Euclidean metric. Our choice of discriminant method is the distance weighted discriminant (DWD) because of its generalization ability in high dimensional, low sample size settings. Joint analysis of 10 subcortical brain structures in a pediatric autism study demonstrates that multi-object analysis of shape results in a better group discrimination than pose, and that the combination of pose and shape performs better than shape alone. Finally, given a discriminating axis of shape and pose, we can visualize the differences between the populations.
Year
DOI
Venue
2007
10.1109/CVPR.2007.383336
2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8
Keywords
Field
DocType
euclidean distance,sample size,statistics,morphology,shape,discriminant analysis,statistical analysis
Computer vision,Active shape model,Embedding,Pattern recognition,Computer science,Statistical shape analysis,Discriminant,Euclidean distance,Artificial intelligence,Linear discriminant analysis,Sample size determination,Shape analysis (digital geometry)
Conference
Volume
Issue
ISSN
2007
1
1063-6919
Citations 
PageRank 
References 
17
1.08
15
Authors
8
Name
Order
Citations
PageRank
Kevin Gorczowski1523.86
Martin Styner21349116.30
Ja-Yeon Jeong3806.46
J S Marron4778.26
Piven Joseph577049.65
Heather Cody Hazlett673642.81
Stephen M. Pizer72000262.21
Guido Gerig84795540.21