| Paper Abstract and Keywords |
| Presentation |
2019-02-20 16:15
[Invited Talk]
Automatic Gaze Correction based on Deep Learning and Image Warping
Masataka Seo, Yamamoto Takahiro (Ritsumeikan Univ), Toshihiro Kitajima (Samsung), Chen Yen-Wei (Ritsumeikan Univ) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
When people take a selfie photo or talk through a video chat system, they tend to look at the screen. Since the position of the camera is usually different from that of the screen, the eyes of the person in the photograph or transmitted live video seem to make contact with something other than the viewer. This paper proposes a method to correct the gaze by synthesizing the image texture. The image synthesis uses feature points around the eyes as landmarks. A common convolutional neural network and long-term recurrent convolution network are used to extract or detect these feature points in a still image and video image, respectively. The deep learning-based feature point detections are very accurate compared to conventional methods. These feature points are used as landmarks, and the internal texture of these feature points are synthesized with the prepared template image in advance. Through these procedures, an automatic and natural gaze correction is realized. This method realized a natural gaze correction with little blur, even for a video image. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
gaze correction / image synthesis / convolutional neural network / long-term recurrent convolution networks / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 43, no. 5, ME2019-47, pp. 255-259, Feb. 2019. |
| Paper # |
ME2019-47 |
| Date of Issue |
2019-02-12 (MMS, HI, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
ME IEICE-IE IEICE-ITS MMS HI AIT |
| Conference Date |
2019-02-19 - 2019-02-20 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Image Processing, etc. |
| Paper Information |
| Registration To |
ME |
| Conference Code |
2019-02-ME-IE-ITS-MMS-HI-AIT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Automatic Gaze Correction based on Deep Learning and Image Warping |
| Sub Title (in English) |
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| Keyword(1) |
gaze correction |
| Keyword(2) |
image synthesis |
| Keyword(3) |
convolutional neural network |
| Keyword(4) |
long-term recurrent convolution networks |
| Keyword(5) |
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| 1st Author's Name |
Masataka Seo |
| 1st Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ) |
| 2nd Author's Name |
Yamamoto Takahiro |
| 2nd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ) |
| 3rd Author's Name |
Toshihiro Kitajima |
| 3rd Author's Affiliation |
Samsung R&D Institute Japan (Samsung) |
| 4th Author's Name |
Chen Yen-Wei |
| 4th Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ) |
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| Speaker |
Author-1 |
| Date Time |
2019-02-20 16:15:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2019-25, HI2019-25, ME2019-47, AIT2019-25 |
| Volume (vol) |
vol.43 |
| Number (no) |
no.5 |
| Page |
pp.255-259 |
| #Pages |
5 |
| Date of Issue |
2019-02-12 (MMS, HI, ME, AIT) |
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