DECOMPOSING IMAGES INTO TRIANGLES BY DELAUNAY POINT PROCESSES
We propose a method for decomposing images into triangles. Contrary to superpixel methods, our output representation both preserves the geometric information disseminated in input images, and has an attractive storage capacity. Our method relies on the flexibility and efficiency of Delaunay point pr...
Main Author: | D. Chai |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2020-08-01
|
Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/805/2020/isprs-annals-V-2-2020-805-2020.pdf |
Similar Items
-
Precision Analysis of Digitized Cadastral Map Using Delaunay Triangle Coordinate Transformation
by: Chen-Ming Hung, et al.
Published: (2008) -
Extraction of blufflines from 2.5 dimensional Delaunay triangle mesh using LiDAR data
by: Choung, Yunjae
Published: (2009) -
Using Delaunay Triangle to emplement framework of Coordinate Transformation within an integrated geo-spatial information system
by: Chien-Chang Tsai, et al.
Published: (2006) -
Sonia Delaunay
by: Lucía Estrada
Published: (2018-07-01) -
Dual Zero-Watermarking Scheme for Two-Dimensional Vector Map Based on Delaunay Triangle Mesh and Singular Value Decomposition
by: Xu Xi, et al.
Published: (2019-02-01)