@ARTICLE{8070336, 
author={B. {Wang} and J. {Zou} and Y. {Li} and K. {Ju} and H. {Xiong} and Y. F. {Zheng}}, 
journal={IEEE Transactions on Circuits and Systems for Video Technology}, 
title={Sparse-to-Dense Depth Estimation in Videos via High-Dimensional Tensor Voting}, 
year={2019}, 
volume={29}, 
number={1}, 
pages={68-79}, 
keywords={computer vision;feature extraction;image colour analysis;image segmentation;image sequences;motion estimation;stereo image processing;tensors;video signal processing;variety saliency;eigen-system;image domain;state-of-the-art depth estimation approaches;sparse points;tensor representation;high-dimensional tensor voting algorithm;inaccurate motion estimation;semiautomatic structure-aware sparse-to-dense depth estimation method;motion boundary;depth field;semiautomatic depth estimation approaches;video frames;depth maps;3D video synthesis;2D-to-3D video conversion;Tensile stress;Estimation;Videos;Three-dimensional displays;Motion estimation;Bidirectional control;Reliability;Depth estimation;tensor voting;motion estimation;bilateral filtering}, 
doi={10.1109/TCSVT.2017.2763602}, 
ISSN={1051-8215}, 
month={Jan},}