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Fast Semi-dense Depth Map Estimation
P. 18-21.
We consider the problem of depth reconstruction from downsampled sparse depth values. We compare our approach with semi-dense depth map interpolation and direct RGB-to-Depth reconstruction solutions on several datasets, including Matterport 3D dataset containing RGB and depth images of 90 building-scale scenes. We demonstrate that the proposed model can produce approximate depth map for over two hundreds images per second.
Публикация подготовлена по результатам проекта:
Прикладные сетевые исследования в эпоху больших данных и новых технологических разработок(2018)