Splitting and Merging Based Multi-model Fitting for Point Cloud Segmentation
This paper deals with the massive point cloud segmentation processing technology on the basis of machine vision, which is the second essential factor for the intelligent data processing of three dimensional conformation in digital photogrammetry. In this paper, multi-model fitting method is used to...
Main Author: | Liangpei ZHANG,Yun ZHANG,Zhenzhong CHEN,Peipei XIAO,Bin LUO |
---|---|
Format: | Article |
Language: | English |
Published: |
Surveying and Mapping Press
2019-06-01
|
Series: | Journal of Geodesy and Geoinformation Science |
Subjects: | |
Online Access: | http://jggs.sinomaps.com/fileup/2096-5990/PDF/1584692312011-1401145443.pdf |
Similar Items
-
Splitting and Merging Based Multi-model Fitting for Point Cloud Segmentation
by: ZHANG Liangpei, et al.
Published: (2018-06-01) -
Adaptive two-threshold quantization and image segmentation based on the splitting and merging areas
by: O. M. Almiahi, et al.
Published: (2019-06-01) -
Object-Level Segmentation of Indoor Point Clouds by the Convexity of Adjacent Object Regions
by: Nan Luo, et al.
Published: (2019-01-01) -
Merge-Swap Optimization Framework for Supervoxel Generation from Three-Dimensional Point Clouds
by: Yanyang Xiao, et al.
Published: (2020-02-01) -
Improvement of Region-Merging Image Segmentation Accuracy Using Multiple Merging Criteria
by: Haoyu Wang, et al.
Published: (2021-07-01)