@inproceedings{23f5f34c502542949d48b3a01d37ba74,
title = "An Improved Method of 3D Scene Reconstruction Based on SfM",
abstract = "The 3D virtual scenes are widely used in different applications, such as visual simulation, augmented reality and virtual reality and so on. For reducing the time consumption with 3D modeling, we propose an improved method of 3D scene reconstruction based on SfM. By taking the video streaming as input, we put forward a feature similarity determination strategy to extract keyframes, and utilize a dense algorithm to improve the model accuracy. Moreover, the method appends 3D model filtering to remove the redundancy of the result models. We demonstrate our method by testing the time cost and effect of different videos and datasets. Results illustrate that our method is practical and available.",
keywords = "3D scene reconstruction, SfM, filtering, keyframe extraction",
author = "Yating Yuan and Yan Ding and Liangjin Zhao and Lin Lv",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 3rd International Conference on Robotics and Automation Engineering, ICRAE 2018 ; Conference date: 17-11-2018 Through 19-11-2018",
year = "2018",
month = dec,
day = "21",
doi = "10.1109/ICRAE.2018.8586689",
language = "English",
series = "2018 3rd International Conference on Robotics and Automation Engineering, ICRAE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "228--232",
booktitle = "2018 3rd International Conference on Robotics and Automation Engineering, ICRAE 2018",
address = "United States",
}