GCPOF: a novel optical flow estimation algorithm leveraged by sparse ground control points

2016 ◽  
Vol 63 (16) ◽  
pp. 1592-1599
Author(s):  
Lai Kang ◽  
Yingmei Wei ◽  
Zheng Yang ◽  
Jie Jiang ◽  
Lingda Wu
Keyword(s):  
Optical Flow ◽  
Estimation Algorithm ◽  
Ground Control ◽  
Control Points ◽  
Flow Estimation ◽  
Optical Flow Estimation ◽  
Ground Control Points

scholarly journals Optical Flow Estimation with Occlusion Detection

Algorithms ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 92
Author(s):  
Song Wang ◽  
Zengfu Wang
Keyword(s):  
Optical Flow ◽  
Feature Matching ◽  
Estimation Algorithm ◽  
Occlusion Detection ◽  
Multiple Sources ◽  
Flow Estimation ◽  
Optical Flow Estimation ◽  
Dense Optical Flow ◽  
Video Frames ◽  
Optimization Function

The dense optical flow estimation under occlusion is a challenging task. Occlusion may result in ambiguity in optical flow estimation, while accurate occlusion detection can reduce the error. In this paper, we propose a robust optical flow estimation algorithm with reliable occlusion detection. Firstly, the occlusion areas in successive video frames are detected by integrating various information from multiple sources including feature matching, motion edges, warped images and occlusion consistency. Then optimization function with occlusion coefficient and selective region smoothing are used to obtain the optical flow estimation of the non-occlusion areas and occlusion areas respectively. Experimental results show that the algorithm proposed in this paper is an effective algorithm for dense optical flow estimation.

Color Image Optical Flow Estimation Algorithm Fused with Color Invariants

2014 ◽  
Vol 35 (12) ◽  
pp. 2927-2933
Author(s):  
Guo-jian Wei ◽  
Zhi-qiang Hou ◽  
Wu Li ◽  
Wang-sheng Yu
Keyword(s):  
Optical Flow ◽  
Color Image ◽  
Estimation Algorithm ◽  
Flow Estimation ◽  
Optical Flow Estimation

scholarly journals BASELINE ESTIMATION ALGORITHM WITH BLOCK ADJUSTMENT FOR MULTI-PASS DUAL-ANTENNA INSAR

2016 ◽  
Vol XLI-B7 ◽  
pp. 39-45
Author(s):  
Guowang Jin ◽  
Xin Xiong ◽  
Qing Xu ◽  
Zhihui Gong ◽  
Yang Zhou
Keyword(s):  
Synthetic Aperture Radar ◽  
Estimation Algorithm ◽  
Synthetic Aperture ◽  
Ground Control ◽  
Interferometric Synthetic Aperture Radar ◽  
Control Points ◽  
Ground Control Points ◽  
Estimated Parameters ◽  
Interferometric Phase ◽  
Baseline Estimation

Baseline parameters and interferometric phase offset need to be estimated accurately, for they are key parameters in processing of InSAR (Interferometric Synthetic Aperture Radar). If adopting baseline estimation algorithm with single pass, it needs large quantities of ground control points to estimate interferometric parameters for mosaicking multiple passes dual-antenna airborne InSAR data that covers large areas. What’s more, there will be great difference between heights derived from different passes due to the errors of estimated parameters. So, an estimation algorithm of interferometric parameters with block adjustment for multi-pass dual-antenna InSAR is presented to reduce the needed ground control points and height’s difference between different passes. The baseline estimation experiments were done with multi-pass InSAR data obtained by Chinese dual-antenna airborne InSAR system. Although there were less ground control points, the satisfied results were obtained, as validated the proposed baseline estimation algorithm.

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