Unsupervised Fast Scene Depth Estimation Based on Laplacian Pyramid

Author:

Peng Zhiyong1,Yang Guixu1,Qin Zujun1,Qiao Yulong2

Affiliation:

1. Guilin University of electronic technology,School of optoelectronic engineering,Guilin,China

2. Harbin Engineering University,School of information and communication engineering,Harbin,China

Publisher

IEEE

Reference19 articles.

1. Self-Supervised Learning of Depth and Ego-Motion from Videos by Alternative Training and Geometric Constraints from 3-D to 2-D[J];Fang;IEEE Transactions on Cognitive and Developmental Systems,2022

2. Experiential AR/VR: a consumer and service framework and research agenda[J];Zarantonello;Journal of Service Management,2023

3. Boreas: A multi-season autonomous driving dataset[J];Burnett;The International Journal of Robotics Research,2023

4. Depth map prediction from a single image using a multi-scale deep network[J];Eigen;Advances in neural information processing systems,2014

5. Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals

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