Combining Convolutional Neural Network and Photometric Refinement for Accurate Homography Estimation

Combining Convolutional Neural Network and Photometric Refinement for Accurate Homography Estimation

Homography estimation refers to the problem of computing a 3 × 3 matrix which transfers image points between two images of a planar scene or two images captured from the same location. While existing algorithms exploiting hand-crafted sparse image features are well-established and efficie...

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Bibliographic Details
Main Authors: Lai Kang, Yingmei Wei, Yuxiang Xie, Jie Jiang, Yanming Guo
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Homography estimation
convolutional neural networks (CNNs)
photometric discrepancy
gradient-decent refinement
Online Access:https://ieeexplore.ieee.org/document/8790674/

Internet

https://ieeexplore.ieee.org/document/8790674/

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