Abstract
The formation of current stereo matching algorithms based on the guided image filtering starts from the minimization of an energy function. We extend this approach by introducing weights to the function such that contribution of different pixels can be assigned individually. This scheme is integrated with the so-called permeability filter for the weighting factors. As the whole picture is involved in the computation, no decision for the window size is required. Extensive experimental comparisons with several state-of-the-art methods using the Middlebury Stereo Evaluation version 3 datasets show that the proposed scheme has a great advantage in stereo matching.
Original language | English |
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Title of host publication | Proceedings - 2019 IEEE International Conference on Industrial Technology, ICIT 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 905-908 |
Number of pages | 4 |
ISBN (Electronic) | 9781538663769 |
DOIs | |
State | Published - 02 2019 |
Event | 2019 IEEE International Conference on Industrial Technology, ICIT 2019 - Melbourne, Australia Duration: 13 02 2019 → 15 02 2019 |
Publication series
Name | Proceedings of the IEEE International Conference on Industrial Technology |
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Volume | 2019-February |
Conference
Conference | 2019 IEEE International Conference on Industrial Technology, ICIT 2019 |
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Country/Territory | Australia |
City | Melbourne |
Period | 13/02/19 → 15/02/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- Cost aggregation
- Guided image filtering
- Permeability filter
- Stereo matching