@inproceedings{d49c37619bae410095732eb30f75ad71,
title = "3D Voxel Reconstruction Based on Shape Layer",
abstract = "3D reconstruction is a basic and important task in computer vision. The overall reconstruction quality evaluation of voxel based 3D reconstruc-tion method is not high currently. This paper mainly aims at the problem that the overall reconstruction quality evaluation of voxel based 3D reconstruction methods is not high. According to the good conversion relationship between shape layer and voxels, a new shape layer based 3D voxel recon-struction network is proposed to transform the prediction problem of 3D voxels into the prediction problem of 2D depth map. Experiments show that it is superior to other voxel based 3D reconstruction methods.",
keywords = "3D reconstruction, Neural network, Shape layer",
author = "Linlin Tang and Shuaijie Shi and Shiyu Qin and Xin Huang and Yijie Fan",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 14th International Conference on Genetic and Evolutionary Computing, ICGEC 2021 ; Conference date: 21-10-2021 Through 23-10-2021",
year = "2022",
doi = "10.1007/978-981-16-8430-2\_28",
language = "英语",
isbn = "9789811684296",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "306--315",
editor = "Shu-Chuan Chu and Lin, \{Jerry Chun-Wei\} and Jianpo Li and Jeng-Shyang Pan",
booktitle = "Genetic and Evolutionary Computing - Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computing, 2021",
address = "德国",
}