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Single Image Depth Estimation with Normal Guided Scale Invariant Deep Convolutional Fields

Yan, Han; Yu, Xin; Zhang, Yu; zhang, Shunli; Zhao, Xiaolin; Zhang, Li


Estimating scene depth from a single image can be widely applied to understand 3D environments due to the easy access of the images captured by consumer-level cameras. Previous works exploit Conditional Random Fields (CRF) to estimate image depth, where neighboring pixels (superpixels) with similar appearance are constrained to share the same depth. However, the depth may vary significantly in the slanted surface, thus leading to severe estimation errors. In order to eliminate those errors, we...[Show more]

CollectionsANU Research Publications
Date published: 2017-11-13
Type: Journal article
Source: IEEE Transactions on Circuits and Systems for Video Technology
DOI: 10.1109/TCSVT.2017.2772892


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