Multi-View Stereo Matching Based on Self-Adaptive Patch and Image Grouping for Multiple Unmanned Aerial Vehicle Imagery

Multi-View Stereo Matching Based on Self-Adaptive Patch and Image Grouping for Multiple Unmanned Aerial Vehicle Imagery

Robust and rapid image dense matching is the key to large-scale three-dimensional (3D) reconstruction for multiple Unmanned Aerial Vehicle (UAV) images. However, the following problems must be addressed: (1) the amount of UAV image data is very large, but ordinary computer memory is limited; (2) the...

Full description

Bibliographic Details
Main Authors: Xiongwu Xiao, Bingxuan Guo, Deren Li, Linhui Li, Nan Yang, Jianchen Liu, Peng Zhang, Zhe Peng
Format: Article
Language:English
Published: MDPI AG 2016-01-01
Series:Remote Sensing
Subjects:
self-adaptive patch
image-grouping
multi-view stereo matching
unmanned aerial vehicle (UAV) imagery
Patch-based Multi-View Stereo matching (PMVS)
Online Access:http://www.mdpi.com/2072-4292/8/2/89

Internet

http://www.mdpi.com/2072-4292/8/2/89

Similar Items