Abstract
We propose a novel method to estimate the mapping between the 3D road model and the 2D street-view video. Our results show that our method can perform a high- quality 2D-to-3D mapping on various street-view videos.
- Title
- Mapping 3D road model to 2D street-view video using Image and Semantic Feature Matching
- Translated title
- Mapping 3D road model to 2D street-view video using Image and Semantic Feature Matching
- Creators - without role
- Kuan-Ting Chen - National Tsing Hua University , Department of Computer ScienceJheng-Wei Su - National Tsing Hua UniversityKai-Wen Hsiao - National Tsing Hua University , Department of Computer ScienceKuo-Wei Chen - National Taiwan University of Science and TechnologyChih-Yuan Yao - National Taiwan University of Science and TechnologyRuen-Rone Lee - National Tsing Hua University , Department of Computer ScienceHung-Kuo Chu - National Tsing Hua University , Department of Computer Science
- Publication Details
- ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems: 5G Dream to Reality, Proceeding
- Identifiers
- 9781665419512; 9957769135706774
- Copyright
- © 2021 IEEE.
- Academic Unit
- Interdisciplinary Program of Arts College, College of Arts, National Tsing Hua University
- Language
- English
- Resource Type
- Conference paper