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Efficient Large-Scale Point Cloud Geometry Compression
 
 
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Correction

Correction: Kang et al. Point Cloud Registration Method Based on Geometric Constraint and Transformation Evaluation. Sensors 2024, 24, 1853

1
College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China
2
Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, China
*
Author to whom correspondence should be addressed.
Sensors 2026, 26(4), 1241; https://doi.org/10.3390/s26041241
Submission received: 26 January 2026 / Accepted: 10 February 2026 / Published: 14 February 2026

Text Correction

In the original publication [1], there was an error. A correction has been made to Section 1, paragraph 3. The content “Abdullah Lakhan et al. [12] proposed a DAPWTS algorithm framework, which utilizes a secure minimum cut algorithm to partition applications between local nodes and edge nodes. After the application partitioning, an optimal search is performed using a node search algorithm, which also optimizes the structure of point cloud data.” was removed.

References

Reference [12] was removed. With this correction, the order of some references has been adjusted accordingly.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Kang, C.; Geng, C.; Lin, Z.; Zhang, S.; Zhang, S.; Wang, S. Point Cloud Registration Method Based on Geometric Constraint and Transformation Evaluation. Sensors 2024, 24, 1853. [Google Scholar] [CrossRef] [PubMed]
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MDPI and ACS Style

Kang, C.; Geng, C.; Lin, Z.; Zhang, S.; Zhang, S.; Wang, S. Correction: Kang et al. Point Cloud Registration Method Based on Geometric Constraint and Transformation Evaluation. Sensors 2024, 24, 1853. Sensors 2026, 26, 1241. https://doi.org/10.3390/s26041241

AMA Style

Kang C, Geng C, Lin Z, Zhang S, Zhang S, Wang S. Correction: Kang et al. Point Cloud Registration Method Based on Geometric Constraint and Transformation Evaluation. Sensors 2024, 24, 1853. Sensors. 2026; 26(4):1241. https://doi.org/10.3390/s26041241

Chicago/Turabian Style

Kang, Chuanli, Chongming Geng, Zitao Lin, Sai Zhang, Siyao Zhang, and Shiwei Wang. 2026. "Correction: Kang et al. Point Cloud Registration Method Based on Geometric Constraint and Transformation Evaluation. Sensors 2024, 24, 1853" Sensors 26, no. 4: 1241. https://doi.org/10.3390/s26041241

APA Style

Kang, C., Geng, C., Lin, Z., Zhang, S., Zhang, S., & Wang, S. (2026). Correction: Kang et al. Point Cloud Registration Method Based on Geometric Constraint and Transformation Evaluation. Sensors 2024, 24, 1853. Sensors, 26(4), 1241. https://doi.org/10.3390/s26041241

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