Multiple ocular region segmentation plays an important role in different applications such as biometrics,liveness detection,healthcare,and gaze estimation.Typically,segmentation techniques focus on a single region of ...Multiple ocular region segmentation plays an important role in different applications such as biometrics,liveness detection,healthcare,and gaze estimation.Typically,segmentation techniques focus on a single region of the eye at a time.Despite the number of obvious advantages,very limited research has focused on multiple regions of the eye.Similarly,accurate segmentation of multiple eye regions is necessary in challenging scenarios involving blur,ghost effects low resolution,off-angles,and unusual glints.Currently,the available segmentation methods cannot address these constraints.In this paper,to address the accurate segmentation of multiple eye regions in unconstrainted scenarios,a lightweight outer residual encoder-decoder network suitable for various sensor images is proposed.The proposed method can determine the true boundaries of the eye regions from inferior-quality images using the high-frequency information flow from the outer residual encoder-decoder deep convolutional neural network(called ORED-Net).Moreover,the proposed ORED-Net model does not improve the performance based on the complexity,number of parameters or network depth.The proposed network is considerably lighter than previous state-of-theart models.Comprehensive experiments were performed,and optimal performance was achieved using SBVPI and UBIRIS.v2 datasets containing images of the eye region.The simulation results obtained using the proposed OREDNet,with the mean intersection over union score(mIoU)of 89.25 and 85.12 on the challenging SBVPI and UBIRIS.v2 datasets,respectively.展开更多
It is well known that the ocular contour was characterized by its skin structure relevant to fillings of soft tissue and concave-convex bones. With aging, it changed a lot due to the volume loss of soft tissue. In rec...It is well known that the ocular contour was characterized by its skin structure relevant to fillings of soft tissue and concave-convex bones. With aging, it changed a lot due to the volume loss of soft tissue. In recent studies, the aging process of the Asians whose eyelids flled with more soft tissue had signifcant impacts on the ocular contour. The aim of our work was to investigate the changes of the ocular contour of Asian people and establish a curve to describe it. In this study, it was demonstrated that the aging was not only linked to the distance between the inferior border of palpebral bag and the midpoint of palpebral fissure, but also correlated with the angle between palpebral fissure and the facial midline. Therefore, “Youthful Curve of Ocular Region” was established with measurements based on mentioned two areas. This curve went through the regions of upper and lower eyelid area and palpebral bags area. In addition, by using multivariate linear regression, a mathematical model to analyze this curve was obtained. The mathematical model was a crucial supplement to evaluate appearance age of ocular region in Asian people. Moreover, it had great potential in developments of anti-aging effects of eye cosmetics.展开更多
基金the National Research Foundation of Korea(NRF,www.nrf.re.kr)grant funded by the Korean government(MSIT,www.msit.go.kr)(No.2018R1A2B6009188)(received by W.K.Loh).
文摘Multiple ocular region segmentation plays an important role in different applications such as biometrics,liveness detection,healthcare,and gaze estimation.Typically,segmentation techniques focus on a single region of the eye at a time.Despite the number of obvious advantages,very limited research has focused on multiple regions of the eye.Similarly,accurate segmentation of multiple eye regions is necessary in challenging scenarios involving blur,ghost effects low resolution,off-angles,and unusual glints.Currently,the available segmentation methods cannot address these constraints.In this paper,to address the accurate segmentation of multiple eye regions in unconstrainted scenarios,a lightweight outer residual encoder-decoder network suitable for various sensor images is proposed.The proposed method can determine the true boundaries of the eye regions from inferior-quality images using the high-frequency information flow from the outer residual encoder-decoder deep convolutional neural network(called ORED-Net).Moreover,the proposed ORED-Net model does not improve the performance based on the complexity,number of parameters or network depth.The proposed network is considerably lighter than previous state-of-theart models.Comprehensive experiments were performed,and optimal performance was achieved using SBVPI and UBIRIS.v2 datasets containing images of the eye region.The simulation results obtained using the proposed OREDNet,with the mean intersection over union score(mIoU)of 89.25 and 85.12 on the challenging SBVPI and UBIRIS.v2 datasets,respectively.
文摘It is well known that the ocular contour was characterized by its skin structure relevant to fillings of soft tissue and concave-convex bones. With aging, it changed a lot due to the volume loss of soft tissue. In recent studies, the aging process of the Asians whose eyelids flled with more soft tissue had signifcant impacts on the ocular contour. The aim of our work was to investigate the changes of the ocular contour of Asian people and establish a curve to describe it. In this study, it was demonstrated that the aging was not only linked to the distance between the inferior border of palpebral bag and the midpoint of palpebral fissure, but also correlated with the angle between palpebral fissure and the facial midline. Therefore, “Youthful Curve of Ocular Region” was established with measurements based on mentioned two areas. This curve went through the regions of upper and lower eyelid area and palpebral bags area. In addition, by using multivariate linear regression, a mathematical model to analyze this curve was obtained. The mathematical model was a crucial supplement to evaluate appearance age of ocular region in Asian people. Moreover, it had great potential in developments of anti-aging effects of eye cosmetics.
