顔画像センシングのオンサイトカスタマイズ手法の提案

抄録

This paper proposes a novel method for on-site software customization to improve performance of facial image sensing. Facial image sensors have been increasingly useful in various fields such as the driver monitoring system in the automobile and the elderly person monitoring system in the lifestyle support service. However, it is difficult to perform facial image sensing with high accuracy in cases that a user has large scars on the face, or defects/deformations of the facial parts such as eyes, nose, and mouth. So, for example, the driver monitoring system doesn’t help very much in safe-driving. In such cases, it is necessary to customize the software for the facial image sensing on-site like a dealer shop. According to this presented proposal, only setting some simple parameters is needed, on the other hand, no relearning process on facial feature values is needed. So, it brings high performance of his/her facial image sensing as well as general. Also, it is shown how to collect the intended user’s facial images for the software customization and its accuracy validation by using the portable and user-friendly equipment. It is confirmed that the proposed method is effective by the experiments using actual facial images.