Refinement of matching costs for stereo disparities using recurrent neural networks
Abstract Depth is essential information for autonomous robotics applications that need environmental depth values. The depth could be acquired by finding the matching pixels between stereo image pairs. Depth information is an inference from a matching cost volume that is composed of the distances be...
Main Authors: | Alper Emlek, Murat Peker |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-04-01
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Series: | EURASIP Journal on Image and Video Processing |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13640-021-00551-9 |
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