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App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 12

Novel method for online dense reconstruction by rotation-translation decoupling optimization

Guo Fana
Lyu Zejuna
Zhang Yancia,b
a. College of Computer Science, b. National Key Fundamental Science on Synthetic Vision, Sichuan University, Chengdu 610065, China
DOI: 10.19734/j.issn.1001-3695.2024.01.0111

Abstract

To address the optimization instability caused by the rotation-translation-coupling-optimization in traditional algorithms, a novel dense reconstruction algorithm based on rotation-translation decoupling optimization has been proposed. The algorithm divides the camera pose space into independent rotation and translation subspaces and independently searches for the optimal solution within each subspace. During each iteration, the algorithm sets search neighborhoods for the estimated values of rotation and translation, samples candidate solutions within these neighborhoods, and selects the optimal solutions through evaluation to update the estimates. Iterate this process until the termination condition is met. Experimental results have verified that the algorithm effectively reduces interference between rotation and translation during the optimization process, thereby enhancing the efficiency and accuracy of the optimization. This demonstrates that the algorithm design has certain advantages in the camera pose estimation stage of dense reconstruction.

Foundation Support

国家重大专项(GJXM92579)
四川省重点研发项目(2023YFG0122)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.01.0111
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 12

Publish History

[2024-09-02] Accepted Paper

Cite This Article

郭帆, 吕泽均, 张严辞. 一种基于旋转-平移解耦优化的在线稠密重建算法 [J]. 计算机应用研究, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.01.0111. (Guo Fan, Lyu Zejun, Zhang Yanci. Novel method for online dense reconstruction by rotation-translation decoupling optimization [J]. Application Research of Computers, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.01.0111. )

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.

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