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A comprehensive motion estimation technique for the improvement of EIS methods based on the SURF algorithm and kalman filter
Xuemin Cheng,
Qun Hao
*
, Mengdi Xie
*
Corresponding author for this work
School of Optics and Photonics
Tsinghua University
Research output
:
Contribution to journal
›
Article
›
peer-review
21
Citations (Scopus)
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Dive into the research topics of 'A comprehensive motion estimation technique for the improvement of EIS methods based on the SURF algorithm and kalman filter'. Together they form a unique fingerprint.
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Engineering
Kalman Filter
100%
Motion Estimation
100%
Feature Point
66%
Random Sample
66%
Video Stabilization
66%
Experimental Result
33%
Target Image
33%
Motion Parameter
33%
Signal-to-Noise Ratio
33%
Peak Signal
33%
Adjacent Frame
33%
Global Motion
33%
Conventional Camera
33%