Improving ear recognition robustness from single-view-based images rotated in depth for forensic observations
Minamidani Takanari, Hideyasu Sai, Daishi Watabe · 2017
Although ear shape is used in forensic investigations, ear identification system assisting forensic experts is not well developed. One of the reasons for this is ear's 3D concave shape that changes their 2D appearances when there are changes in camera angles. To compensate these changes in 2D appearance, 3D statistical modeling is necessary. For this purpose, only one model is used in our previous study. Based on a few forensic classification methods of ear shapes, we attempted to increase the number of 3D statistical ear models. Through experimental evaluation, we find a possibility to improve the robustness against change in camera angles.