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RÉSEAU NEURONAL POUR SEGMENTATION D'IMAGE D'OEIL ET ESTIMATION DE QUALITÉ D'IMAGE
专利权人:
Magic Leap; Inc.
发明人:
SPIZHEVOY, Alexey,KAEHLER, Adrian,BADRINARAYANAN, Vijay
申请号:
EP17856946
公开号:
EP3518731A4
申请日:
2017.05.25
申请国别(地区):
EP
年份:
2020
代理人:
摘要:
Systems and methods for eye image segmentation and image quality estimation are disclosed. In one aspect, after receiving an eye image, a device such as an augmented reality device can process the eye image using a convolutional neural network with a merged architecture to generate both a segmented eye image and a quality estimation of the eye image. The segmented eye image can include a background region, a sclera region, an iris region, or a pupil region. In another aspect, a convolutional neural network with a merged architecture can be trained for eye image segmentation and image quality estimation. In yet another aspect, the device can use the segmented eye image to determine eye contours such as a pupil contour and an iris contour. The device can use the eye contours to create a polar image of the iris region for computing an iris code or biometric authentication.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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