Research Article
Surface Reconstruction Method of Color 3D Image Based on Independent Adjustable Sparse Coefficient
@INPROCEEDINGS{10.1007/978-3-031-18123-8_42, author={Jiangang Yin and Mingnian Zhang and Ning Zhang}, title={Surface Reconstruction Method of Color 3D Image Based on Independent Adjustable Sparse Coefficient}, proceedings={Multimedia Technology and Enhanced Learning. 4th EAI International Conference, ICMTEL 2022, Virtual Event, April 15-16, 2022, Proceedings}, proceedings_a={ICMTEL}, year={2022}, month={10}, keywords={Independently adjustable sparsity coefficient Color three-dimensional image Surface reconstruction Image enhancement Point cloud registration algorithm}, doi={10.1007/978-3-031-18123-8_42} }- Jiangang Yin
Mingnian Zhang
Ning Zhang
Year: 2022
Surface Reconstruction Method of Color 3D Image Based on Independent Adjustable Sparse Coefficient
ICMTEL
Springer
DOI: 10.1007/978-3-031-18123-8_42
Abstract
Color 3D images play an important role in many fields. The segmentation effect of traditional 3D image surface reconstruction methods is poor, resulting in unreliable reconstruction results. Therefore, a new surface reconstruction method of color 3D image is designed based on the independent adjustable sparse coefficient. Firstly, the color 3D image is enhanced, and then the point cloud registration algorithm is designed based on the independent adjustable sparse coefficient. The surface reconstruction of the color 3D image is realized by the point cloud registration algorithm. The experimental results show that the reconstruction effect of this method is good, which proves that it has high application value.
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