Cross-Modal 360° Depth Completion and Reconstruction for Large-Scale Indoor Environment-Reference-Cited by-同舟云学术

Cross-Modal 360° Depth Completion and Reconstruction for Large-Scale Indoor Environment

Author:

Liu Ruyu¹^ORCID,Zhang Guodao²^ORCID,Wang Jiangming³,Zhao Shuwen⁴

Affiliation:

1. School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China

2. College of Computer Science, Zhejiang University of Technology, Hangzhou, China

3. Institute of Computer Vision, College of Computer Science and Technology, East China Normal University, Shanghai, China

4. Intelligent Systems and Biomedical Robotics Group, School of Computing, University of Portsmouth, Portsmouth, U.K

Funder

Natural Science Foundation of Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference50 articles.

3. A general optimization-based framework for global pose estimation with multiple sensors;qin;arXiv 1901 03642,2019

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