Creating Ultra Dense Point Correspondence Over the Entire Human Head

Research output: Research - peer-reviewArticle in proceedings – Annual report year: 2017

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While the acquisition and analysis of 3D faces has been an active area of research for decades, it is still a complex and demanding task to accurately model the entire head and ears. Having accurate models would for example enable virtual design of hearing devices. In this paper, we describe a complete framework for surface registration of complete human heads where the result is point correspondence with a very high number of points. The method is based on a volumetric and multi-scale non-rigid registration of signed distance fields. The method is evaluated on a set of 30 human heads and the results are convincing. The output can for example be used to compute statistical shape models. The accuracy of predicted anatomical landmarks is on the level of experienced human operators.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science : Image Analysis
Volume10270
PublisherSpringer
Publication date2017
Pages438-447
ISBN (Print)978-3-319-59128-5
ISBN (Electronic)978-3-319-59129-2
DOIs
StatePublished - 2017
Event20th Scandinavian Conference on Image Analysis - Tromsø, Norway
Duration: 12 Jun 201714 Jun 2017

Conference

Conference20th Scandinavian Conference on Image Analysis
CountryNorway
CityTromsø
Period12/06/201714/06/2017
SeriesLecture Notes in Computer Science
ISSN0302-9743
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Surface registration, Signed distance field, Human head modelling
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