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Abstract
Fusing disparity maps from different methods is an useful technique to get a refined disparity map by leveraging the complimentary advantage. We present a model for disparity fusion that uses an adversarial
network, which can be trained without using ground truth disparity data. We input two initial disparity maps (from the left view) along with auxiliary information (gradient, left & right intensity image) into the generator and train the generator to output a refined disparity map registered on the left view. The refined left disparity map and left intensity image are used to reconstruct a fake right intensity image. Finally, the fake and real right intensity images (from the right stereo vision camera) are fed into a discriminator. The trained network’s architecture is effective for the fusion task (90 fps on Kitti2015). The accuracy is on par or
even better than the state-of-art supervised methods. A demo video is available https://youtu.be/XTHOF3kZGsU.
Original language | English |
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Title of host publication | 2019 26th IEEE International Conference on Image Processing (ICIP) |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 1765-1769 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-5386-6249-6 |
ISBN (Print) | 978-1-5386-6250-2 |
DOIs | |
Publication status | Published - 26 Aug 2019 |
Event | 26th IEEE International Conference on Image Processing (ICIP) - Taipei, Taiwan, Province of China Duration: 22 Sept 2019 → 25 Sept 2019 http://2019.ieeeicip.org/index.php |
Publication series
Name | |
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Publisher | Institute of Electrical and Electronics Engineers |
ISSN (Print) | 1522-4880 |
ISSN (Electronic) | 2381-8549 |
Conference
Conference | 26th IEEE International Conference on Image Processing (ICIP) |
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Abbreviated title | ICIP 2019 |
Country/Territory | Taiwan, Province of China |
City | Taipei |
Period | 22/09/19 → 25/09/19 |
Internet address |
Fingerprint
Dive into the research topics of 'UDFNet: Unsupervised Disparity Fusion with Adversarial Networks'. Together they form a unique fingerprint.Projects
- 1 Finished
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TrimBot2020-A gardening robot for rose, hedge and topiary trimming (coordinating)
Fisher, B. (Principal Investigator)
1/01/16 → 31/12/19
Project: Research