Pupil localization for ophthalmic diagnosis using anchor ellipse regression

Horng Horng Lin, Zheng Yi Li, Min Hsiu Shih, Yung Nien Sun, Ting Li Shen

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

Recent developments of deep neural networks, such as Mask R-CNN, have shown significant advances in simultaneous object detection and segmentation. We thus apply deep learning to pupil localization for ophthalmic diagnosis and propose a novel anchor ellipse regression approach based on region proposal network and Mask R-CNN for detecting pupils, estimating pupil shape parameters, and segmenting pupil regions at the same time in infrared images. This new extension of anchor ellipse regression for Mask R-CNN is demonstrated to be effective in size and rotation estimations of elliptical objects, as well as in object detections and segmentations, by experiments. Temporal pupil size estimations by using the proposed approach for normal and abnormal subjects give meaningful indices of pupil size changes for ophthalmic diagnosis.

原文English
主出版物標題Proceedings of the 16th International Conference on Machine Vision Applications, MVA 2019
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9784901122184
DOIs
出版狀態Published - 2019 5月
事件16th International Conference on Machine Vision Applications, MVA 2019 - Tokyo, Japan
持續時間: 2019 5月 272019 5月 31

出版系列

名字Proceedings of the 16th International Conference on Machine Vision Applications, MVA 2019

Conference

Conference16th International Conference on Machine Vision Applications, MVA 2019
國家/地區Japan
城市Tokyo
期間19-05-2719-05-31

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 訊號處理
  • 電腦視覺和模式識別

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