Human Ear Localization: A Template-based Approach
2015 (English)Conference paper (Refereed)
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
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:umu:diva-109204OAI: oai:DiVA.org:umu-109204DiVA: diva2:855944
ICOPR 2015, International Workshop on Pattern Recognition, Dubai, May 4-5, 2015