Technology of Graphic & Image
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943-948,955

Feature selection algorithm based on uncertainty of semantic segmentation

Liu Yanli1,2
Liu Shengdong1
Zhang Heng2
Liao Zhifang3
1. School of Information Engineering, East China Jiaotong University, Nanchang 330013, China
2. School of Electronic Information, Shanghai Dianji University, Shanghai 201306, China
3. School of Computer Science & Engineering, Central South University, Changsha 410083, China

Abstract

Aiming at the feature extraction problem of feature-based visual odometry, this paper proposed a feature selection algorithm based on mutual information and semantic segmentation uncertainty. Based on semantic and geometric information of features, the algorithm points extracted from potential static objects. It corrected the semantic uncertainty of features based on the semantic context, and selected the features based on the information entropy changes of features. Finally, this paper used the public KITTI visual odometry dataset to evaluate the algorithm and compared the experiment results with other algorithms. The results prove that the proposed algorithm has better accuracy of pose estimation, which verifies the effectiveness and feasibility of the algorithm.

Foundation Support

国家自然科学基金资助项目(61963017,61863013)
江西省科技创新杰出青年人才项目(20192BCBL23004)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.08.0313
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 3
Section: Technology of Graphic & Image
Pages: 943-948,955
Serial Number: 1001-3695(2022)03-052-0943-06

Publish History

[2021-11-13] Accepted Paper
[2022-03-05] Printed Article

Cite This Article

刘艳丽, 刘圣东, 张恒, 等. 基于语义分割不确定性的特征点选择算法 [J]. 计算机应用研究, 2022, 39 (3): 943-948,955. (Liu Yanli, Liu Shengdong, Zhang Heng, et al. Feature selection algorithm based on uncertainty of semantic segmentation [J]. Application Research of Computers, 2022, 39 (3): 943-948,955. )

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.

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