Invention Grant
- Patent Title: Generating gaze corrected images using bidirectionally trained network
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Application No.: US16412994Application Date: 2019-05-15
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Publication No.: US11024002B2Publication Date: 2021-06-01
- Inventor: Furkan Isikdogan , Timo Gerasimow , Gilad Michael
- Applicant: INTEL CORPORATION
- Applicant Address: US CA Santa Clara
- Assignee: INTEL CORPORATION
- Current Assignee: INTEL CORPORATION
- Current Assignee Address: US CA Santa Clara
- Agency: Hanley, Flight and Zimmerman, LLC
- Main IPC: G06T3/00
- IPC: G06T3/00 ; G06K9/62 ; G06T5/20 ; G06T7/73 ; G06K9/00 ; G06T5/00

Abstract:
An example apparatus for correcting gaze in images includes an image receiver to receive an image comprising an eye and a target angle set to a center. The apparatus also includes a bidirectionally trained convolutional neural network (CNN) to receive the image and the target angle from the image receiver and generate a vector field and a brightness map based on the image and the target angle. The apparatus further includes an image corrector to generate a gaze corrected image based on the vector field and the brightness map.
Public/Granted literature
- US20190266701A1 GENERATING GAZE CORRECTED IMAGES USING BIDIRECTIONALLY TRAINED NETWORK Public/Granted day:2019-08-29
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T3/00 | 在图像平面内的图形图像转换 |