한국방송∙미디어공학회:학술대회논문집 (Proceedings of the Korean Society of Broadcast Engineers Conference)
- 한국방송∙미디어공학회 2019년도 하계학술대회
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- Pages.163-165
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- 2019
심층 신경망을 이용한 얼굴 영상에서의 헤어 영역 제거
Hair Removal on Face Images using a Deep Neural Network
- Lumentut, Jonathan Samuel (Inha University) ;
- Lee, Jungwoo (Inha University) ;
- Park, In Kyu (Inha University)
- 발행 : 2019.06.19
초록
The task of image denoising is gaining popularity in the computer vision research field. Its main objective of restoring the sharp image from given noisy input is demanded in all image processing procedure. In this work, we treat the process of residual hair removal on faces images similar to the task of image denoising. In particular, our method removes the residual hair that presents on the frontal or profile face images and in-paints it with the relevant skin color. To achieve this objective, we employ a deep neural network that able to perform both tasks in one time. Furthermore, simple technic of residual hair color augmentation is introduced to increase the number of training data. This approach is beneficial for improving the robustness of the network. Finally, we show that the experimental results demonstrate the superiority of our network in both quantitative and qualitative performances.
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