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Biomedical and Health Informatics Series

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Biomedical and Health Informatics Series Biomedical and Health Informatics Lecture Series Tuesday, January 21, 2014 12:00 – 12:50 p.m. Health Sciences, Room T-498 Linda Shapiro, PhD Professor, Department of Computer Science & Engineering, Electrical Engineering Adjunct Professor, Department of Biomedical Informatics and Medical Education University of Washington “3D Craniofacial Image Analysis and Retrieval” Craniofacial image analysis is traditionally performed with a set of manually obtained landmarks of the face. Our work, on the contrary, uses full meshes of the subject's head to extract image features that lead to classification, quantification, and image retrieval. This talk will discuss two different but related studies. The first uses histograms of the azimuth and elevation angles of surface normals of the mesh representation of craniofacial anatomy in order to classify and quantify shape abnormalities. The second uses local curvature features to learn the characteristics of regions about facial landmarks and then learns which of these can be successfully used to find the center plane of the human face, even in the presence of clefts. Experiments on three different abnormal conditions are described. Speaker Biography Linda Shapiro, PhD is Professor of Computer Science and Engineering and of Electrical Engineering, and Adjunct Professor of Biomedical Informatics and Medical Education at the University of Washington. She received her BS degree in mathematics from the University of Illinois, Urbana, and MS and PhD degrees in computer science from the University of Iowa, Iowa City. Her research interests include computer vision, image database systems, artificial intelligence, pattern recognition, and robotics. She has co-authored three textbooks, one on data structures and two on computer vision. The Biomedical and Health Informatics lecture series covers current topics and developments in Biomedical and Health Informatics. Presenters include faculty, students, researchers and developers from the University of Washington, other academic institutions, government, and industry (locally and nationally). The intended audience is the broader University of Washington and Seattle area community with an interest in BHI as well as BHI faculty and students. .
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