In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) has been redirecting to new domain since Jan. 1st, 2025.
See More
App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 1

Enhanced 3D Gaussian density method for 3D reconstruction in indoor real-scene

Huang Daohong
Liu Chunling
Shi Lei
School of Information Engineering, Dalian University, Dalian 116622, China
DOI: 10.19734/j.issn.1001-3695.2025.05.0194

Abstract

To address the issues of insufficient detail representation, blurred edges, and aliasing artifacts in classical 3D reconstruction methods for complex indoor scenes, we propose a 3D Gaussian Splatting (3DGS) -based reconstruction algorithm specifically designed for such environments. First, we introduce a pre-processing point cloud densification network to densify and complete sparse point clouds obtained through structure-from-motion, constructing a high-resolution enhanced 3D Gaussian radiance field to improve detail representation accuracy. Next, we incorporate scene depth information by designing a depth regularization loss function that utilizes depth cost information to correlate objects at different depths, thereby resolving structural scale ambiguity. Combined with an adaptive density control strategy, we dynamically optimize radiance field parameters to enhance both reconstruction accuracy and visual quality. Experiments on the Tanks and Temples and Mip-NeRF360 datasets demonstrate that compared to conventional 3DGS, our method achieves PSNR improvements of 6.77% and 4.79% in reconstructed views, with corresponding enhancements in SSIM and LPIPS metrics. This approach effectively resolves precision deficiencies and blurry aliasing in 3D digital image reconstruction, providing technical support for interior design, navigation, and digital city construction.

Foundation Support

辽宁省教育基金资助项目(LJKZ1184)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.05.0194
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 1

Publish History

[2025-09-16] Accepted Paper

Cite This Article

黄道红, 刘春玲, 石磊. 一种增密3D高斯的室内实景三维重建方法 [J]. 计算机应用研究, 2026, 43 (1). (2025-09-17). https://doi.org/10.19734/j.issn.1001-3695.2025.05.0194. (Huang Daohong, Liu Chunling, Shi Lei. Enhanced 3D Gaussian density method for 3D reconstruction in indoor real-scene [J]. Application Research of Computers, 2026, 43 (1). (2025-09-17). https://doi.org/10.19734/j.issn.1001-3695.2025.05.0194. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)