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Human Ear Localization: A Template-based Approach
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (Digital Media Lab)
2015 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We propose a simple and yet effective technique for shape-based ear localization. The idea is based on using a predefined binary ear template that is matched to ear contours in a given edge image. To cope with changes in ear shapes and sizes, the template is allowed to deform. Deformation is achieved by dividing the template into segments. The dynamic programming search algorithm is used to accomplish the matching process, achieving very robust localization results in various cluttered and noisy setups.

Place, publisher, year, edition, pages
2015.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:umu:diva-109204OAI: oai:DiVA.org:umu-109204DiVA: diva2:855944
Conference
ICOPR 2015, International Workshop on Pattern Recognition, Dubai, May 4-5, 2015
Available from: 2015-09-22 Created: 2015-09-22 Last updated: 2016-02-23

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Halawani, AlaaLi, Haibo

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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