Human Ear Localization: A Template-Based Approach
Alaa Halawani 1 and
Haibo Li 2
1. Department of Applied Physics and Electronics (TFE), Umeå University, Umeå, Sweden
2. School of Computer Science & Communication, Royal Institute of Technology (KTH), Stockholm, Sweden
2. School of Computer Science & Communication, Royal Institute of Technology (KTH), Stockholm, Sweden
Abstract—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.
Index Terms—ear detection, localization, dynamic programming, shape template, segments, edge noise, partial occlusion
Cite: Alaa Halawani and Haibo Li, "Human Ear Localization: A Template-Based Approach," International Journal of Signal Processing Systems, Vol. 4, No. 3, pp. 258-262, June 2016. doi: 10.18178/ijsps.4.3.258-262
Cite: Alaa Halawani and Haibo Li, "Human Ear Localization: A Template-Based Approach," International Journal of Signal Processing Systems, Vol. 4, No. 3, pp. 258-262, June 2016. doi: 10.18178/ijsps.4.3.258-262