Don't hit me! glass detection in real-world scenes

• Main Authors: MEI, Haiyang, YANG, Xin, WANG, Yang, LIU, Yuanyuan, HE, Shengfeng, ZHANG, Qiang, WEI, Xiaopeng, LAU, Rynson W.H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/8524; https://ink.library.smu.edu.sg/context/sis_research/article/9527/viewcontent/Mei_Dont_Hit_Me_Glass_Detection_in_Real_World_Scenes_CVPR_2020_paper.pdf
• Institution: Singapore Management University

Glass is very common in our daily life. Existing computer vision systems neglect it and thus may have severe consequences, e.g., a robot may crash into a glass wall. However, sensing the presence of glass is not straightforward. The key challenge is that arbitrary objects/scenes can appear behind th...