Integration of Variational Optical Flow and Surface Splines for Dense Correspondence Estimation of Remotely Sensed Images

2017 ◽  
Author(s):  
Manimala Mahato ◽  
Shirish S. Gedam
Keyword(s):  
Optical Flow ◽  
Remotely Sensed ◽  
Surface Splines ◽  
Remotely Sensed Images ◽  
Dense Correspondence

scholarly journals MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed Images

2021 ◽  
pp. 1-5
Author(s):  
Rui Li ◽  
Chenxi Duan ◽  
Shunyi Zheng ◽  
Ce Zhang ◽  
Peter M. Atkinson
Keyword(s):  
Semantic Segmentation ◽  
Remotely Sensed ◽  
Remotely Sensed Images ◽  
Fine Resolution

Monocular Structure from Motion Based on Angular BA

2015 ◽  
Vol 742 ◽  
pp. 290-293
Author(s):  
Xiu Zhi Li ◽  
Ai Lin Yang ◽  
Huan Qiu ◽  
Song Min Jia
Keyword(s):  
Optical Flow ◽  
Structure From Motion ◽  
Structure Refinement ◽  
3D Structure ◽  
Flow Fields ◽  
Image Point ◽  
Pixel Pair ◽  
Pair Matching ◽  
Dense Correspondence

This paper presents a technique for monocular Structure from Motion (SFM) that reconstructs 3D world shape. The technique proposed uses optical flow for 2D pixel pair matching and Angular Bundle Ajustment (ABA) for 3D structure refinement. The proposed strategy has two main advantages. Firstly, optical flow fields provide sufficient dense correspondence of image point pairs and secondly, ABA outperforms classic BA variants, especially for the points relatively far from camera. The reconstruction results obtained in realistic scenario demonstrate the effectiveness and accuracy of the proposed algorithm.

Sign in / Sign up

Export Citation Format

Share Document