Self-Calibration Under the Cayley Framework

The Cayley framework here is meant to tackle the vision problems under the infinite Cayley transformation (ICT), its main advantage lies in its numerical stability. In this work, the stratified self-calibration under the Cayley framework is investigated. It is well known that the main difficulty of...

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Vydáno v:	International journal of computer vision Ročník 103; číslo 3; s. 372 - 398
Hlavní autoři:	Wu, F. C., Zhang, M., Hu, Z. Y.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Boston Springer US 01.07.2013 Springer Springer Nature B.V
Témata:	Algorithms Analysis Applied sciences Artificial Intelligence Calibration Cameras Computer Imaging Computer Science Computer science; control theory; systems Eigenvalues Exact sciences and technology Image Processing and Computer Vision Investigations Mathematical analysis Numerical stability Optimization techniques Pattern Recognition Pattern Recognition and Graphics Pattern recognition. Digital image processing. Computational geometry Reconstruction Studies Transformations Vectors (mathematics) Vision Vision systems Metric reconstruction Cayley transformation Self-calibration Affine reconstruction Optimal algorithm Mobility Calibration Affine transformation Image reconstruction Projection method Multiple view Selfcalibration Homograph Inequality constraint Metric Camera Numerical stability
ISSN:	0920-5691, 1573-1405
On-line přístup:	Získat plný text
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