FIELD: computing.
SUBSTANCE: invention relates to computing. A method for reconstructing a depth map includes the steps of obtaining an image and a sparse depth map containing depth data; the image feature tensor is calculated by the trained image encoder; calculating the trained depth encoder tensor of depth features; calculating the concatenated feature tensor by the converting module by concatenating the image feature tensor and the depth feature tensor and converting the concatenated features tensor by the transforming module using a predetermined parameter specifying the size of the transformed concatenated feature tensor; predicting a gradient depth map by a trained decoder using the transformed concatenated feature tensor and the tensor; and predicting the dense depth map by the iterative spatial distribution unit using the gradient depth map, the sparse depth map and the tensor obtained in the last upscaling block of the decoder data.
EFFECT: ensuring high quality depth map acquisition on low computing power devices in real time.
21 cl, 10 dwg
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Authors
Dates
2021-03-18—Published
2020-08-25—Filed