A Novel Method for Estimating Monocular Depth Using Cycle GAN and Segmentation
A Novel Method for Estimating Monocular Depth Using Cycle GAN and Segmentation
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
Modern image processing techniques use three-dimensional (3D) images, which contain spatial information such as depth and scale, in addition to visual information. These images are indispensable in virtual reality, augmented reality (AR), and autonomous driving applications. We propose a novel method to estimate monocular depth using a cycle genera...
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Full title
A Novel Method for Estimating Monocular Depth Using Cycle GAN and Segmentation
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TN_cdi_doaj_primary_oai_doaj_org_article_762ed089821b4c3ba1e84d1038ebdaa3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_762ed089821b4c3ba1e84d1038ebdaa3
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s20092567
