NDLI: Improved algorithm to estimate the rotation angle between two images by using the two-point correspondence pairs

Content Provider	IET Digital Library
Author	Hong, Sangseok Lee, Jin S. Kuc, Tae Yong
Abstract	An algorithm that can compute the rotation angle between two images is proposed, independently of the translation angle by using only two-point correspondence pairs. A parameterised solution vector can be calculated from the null-space of a matrix constructed of two-point correspondence pairs, and then the rotation angle is evaluated from this vector by using the relation between the elements of the essential matrix. Once the rotation angle is determined, the translation angle can be computed by using the Ackermann steering constraint, and then the translation distance can be determined. In the experiments, the proposed algorithm estimated the rotation angle and the translation distance better than did previous algorithms.
Starting Page	355
Ending Page	357
Page Count	3
ISSN	00135194
Volume Number	52
e-ISSN	1350911X
Issue Number	Issue 5, Mar (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/52/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2015.2500
Journal	Electronics Letters
Publisher Date	2016-02-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acceleration Ackermann Steering Constraint Algebra Computer Vision And Image Processing Technique Distance Measurement Essential Matrix Image Processing Matrix Algebra Optical, Image And Video Signal Processing Parameterised Solution Vector Rotation Angle Rotation Measurement Spatial Variables Measurement Translation Angle Translation Distance Two-point Correspondence Pair Velocity
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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