Robust Image Registration via Cepstral Analysis

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Author(s)
Gonzalez, Ruben
Griffith University Author(s)
Year published
2011
Metadata
Show full item recordAbstract
Cepstrum based image registration has been largely overlooked over the past two decades. Initial investigation of the method was limited to alignment of images exhibiting only translational differences. Later attempts to extend the method to handle rotations proved disappointing. This paper presents a cepstrum-based registration method that provides performance comparable to the state of the art over a wide range of scale factors and rotation angles, with reduced computational load.Cepstrum based image registration has been largely overlooked over the past two decades. Initial investigation of the method was limited to alignment of images exhibiting only translational differences. Later attempts to extend the method to handle rotations proved disappointing. This paper presents a cepstrum-based registration method that provides performance comparable to the state of the art over a wide range of scale factors and rotation angles, with reduced computational load.
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Conference Title
Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications DICTA 2011
Copyright Statement
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Subject
Computer Vision