Towards optimal point cloud processing for 3D reconstruction / Guoxiang Zhang, YangQuan Chen.
Zhang, Guoxiang, author.; Chen, YangQuan, 1966- author.
2022
TK5102.9
Available Online

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Title Towards optimal point cloud processing for 3D reconstruction / Guoxiang Zhang, YangQuan Chen.
Author Zhang, Guoxiang, author.
ISBN 9783030961107 (electronic bk.)
3030961109 (electronic bk.)
9783030961091
3030961095
DOI https://doi.org/10.1007/978-3-030-96110-7
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource (xix, 87 pages) : illustrations (chiefly color).
Other Standard Identifiers 10.1007/978-3-030-96110-7 doi
Call Number TK5102.9
Dewey Decimal Classification 621.382/2
Summary This SpringerBrief presents novel methods of approaching challenging problems in the reconstruction of accurate 3D models and serves as an introduction for further 3D reconstruction methods. It develops a 3D reconstruction system that produces accurate results by cascading multiple novel loop detection, sifting, and optimization methods. The authors offer a fast point cloud registration method that utilizes optimized randomness in random sample consensus for surface loop detection. The text also proposes two methods for surface-loop sifting. One is supported by a sparse-feature-based optimization graph. This graph is more robust to different scan patterns than earlier methods and can cope with tracking failure and recovery. The other is an offline algorithm that can sift loop detections based on their impact on loop optimization results and which is enabled by a dense map posterior metric for 3D reconstruction and mapping performance evaluation works without any costly ground-truth data. The methods presented in Towards Optimal Point Cloud Processing for 3D Reconstruction will be of assistance to researchers developing 3D modelling methods and to workers in the wide variety of fields that exploit such technology including metrology, geological animation and mass customization in smart manufacturing.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 8, 2022).
Added Author Chen, YangQuan, 1966- author.
Series SpringerBriefs in electrical and computer engineering. Signal processing. 2196-4084
Available in Other Form Print version: 9783030961091
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1. Introduction
2. Preliminaries
3. Fractional-Order Random Sample Consensus
4. Online Sifting of Loop Detections for 3D Reconstruction of Caves
5. Dense Map Posterior: A Novel Quality Metric for 3D Reconstruction
6. Offline Sifting and Majorization of Loop Detections
7. Conclusion and Future Opportunities
Appendix: More Information on Results Reproducibility.

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