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Shape-Based Classification of 3D Head Data Linda Shapiro, Katarzyna Wilamowska, Indriyati Atmosukarto, Jia Wu,
 

Summary: Shape-Based Classification of 3D Head Data
Linda Shapiro, Katarzyna Wilamowska, Indriyati Atmosukarto, Jia Wu,
Carrie Heike, Matthew Speltz, and Michael Cunningham
University of Washington,
Seattle, WA 98195 U.S.A.
{shapiro,kasiaw,indria,jiawu}@cs.washington.edu
carrie.heike@seattlechildrens.org
{mspeltz,mcunning}@u.washington.edu
Abstract. Craniofacial disorders are one of the most common category
of birth defects worldwide, and are an important topic of biomedical re-
search. In order to better understand these disorders and correlate them
with genetic patterns and life outcomes, researchers need to quantify
the craniofacial anatomy. In this paper we introduce several different
craniofacial descriptors that are being used in research studies for two
craniofacial disorders: the 22q11.2 deletion syndrome (a genetic disor-
der) and plagiocephaly/brachycephaly, disorders caused by pressure on
the head. Experimental results show that our descriptors show promise
for quantifying craniofacial shape.
Key words: 3D shape, shape-based classification, craniofacial data
1 Introduction

  

Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle

 

Collections: Computer Technologies and Information Sciences