Tsinghua University

Zhongshan Ophthalmic Center, Sun Yat-Sen University

Xinping Yu

Feng Xu

Haotian Lin

Ruixin Wang

Junfeng Lyu

Disclosed are a method and apparatus for measuring a gaze difference based on gaze estimation. Video data of a testee gazing at a visual target is obtained, and a face image sequence is obtained from the video data. The face image sequence is input into a first neural network for key frame extraction to obtain a first and second gaze position face image. The face images are input into a second neural network for facial feature point extraction. Cropping is performed based on facial feature point coordinates to obtain a first and second eye region image. A gaze difference estimation network is trained to obtain a trained gaze difference estimation network. The first and second eye region images are input into the trained gaze difference estimation network to obtain a predicted gaze difference between the first and second eye region images.

Growing community of inventors

Guangdong, China

Xinping Yu