Commit eb44e0a5 authored by Alexander Alekhin's avatar Alexander Alekhin

Merge pull request #16028 from catree:improve_calib3d_doc

parents 7523c777 43d58aa7
...@@ -102,6 +102,14 @@ ...@@ -102,6 +102,14 @@
publisher = {Elsevier}, publisher = {Elsevier},
url = {https://www.cs.bgu.ac.il/~icbv161/wiki.files/Readings/1981-Ballard-Generalizing_the_Hough_Transform_to_Detect_Arbitrary_Shapes.pdf} url = {https://www.cs.bgu.ac.il/~icbv161/wiki.files/Readings/1981-Ballard-Generalizing_the_Hough_Transform_to_Detect_Arbitrary_Shapes.pdf}
} }
@techreport{blanco2010tutorial,
title = {A tutorial on SE(3) transformation parameterizations and on-manifold optimization},
author = {Blanco, Jose-Luis},
institution = {University of Malaga},
number = {012010},
year = {2010},
url = {http://ingmec.ual.es/~jlblanco/papers/jlblanco2010geometry3D_techrep.pdf}
}
@article{Borgefors86, @article{Borgefors86,
author = {Borgefors, Gunilla}, author = {Borgefors, Gunilla},
title = {Distance transformations in digital images}, title = {Distance transformations in digital images},
...@@ -277,6 +285,12 @@ ...@@ -277,6 +285,12 @@
year = {2013}, year = {2013},
url = {http://ethaneade.com/optimization.pdf} url = {http://ethaneade.com/optimization.pdf}
} }
@misc{Eade17,
author = {Eade, Ethan},
title = {Lie Groups for 2D and 3D Transformation},
year = {2017},
url = {http://www.ethaneade.com/lie.pdf}
}
@inproceedings{EM11, @inproceedings{EM11,
author = {Gastal, Eduardo SL and Oliveira, Manuel M}, author = {Gastal, Eduardo SL and Oliveira, Manuel M},
title = {Domain transform for edge-aware image and video processing}, title = {Domain transform for edge-aware image and video processing},
...@@ -397,6 +411,14 @@ ...@@ -397,6 +411,14 @@
year = {1999}, year = {1999},
url = {https://pdfs.semanticscholar.org/090d/25f94cb021bdd3400a2f547f989a6a5e07ec.pdf} url = {https://pdfs.semanticscholar.org/090d/25f94cb021bdd3400a2f547f989a6a5e07ec.pdf}
} }
@article{Gallego2014ACF,
title = {A Compact Formula for the Derivative of a 3-D Rotation in Exponential Coordinates},
author = {Guillermo Gallego and Anthony J. Yezzi},
journal = {Journal of Mathematical Imaging and Vision},
year = {2014},
volume = {51},
pages = {378-384}
}
@article{taubin1991, @article{taubin1991,
abstract = {The author addresses the problem of parametric representation and estimation of complex planar curves in 2-D surfaces in 3-D, and nonplanar space curves in 3-D. Curves and surfaces can be defined either parametrically or implicitly, with the latter representation used here. A planar curve is the set of zeros of a smooth function of two variables <e1>x</e1>-<e1>y</e1>, a surface is the set of zeros of a smooth function of three variables <e1>x</e1>-<e1>y</e1>-<e1>z</e1>, and a space curve is the intersection of two surfaces, which are the set of zeros of two linearly independent smooth functions of three variables <e1>x</e1>-<e1>y</e1>-<e1>z</e1> For example, the surface of a complex object in 3-D can be represented as a subset of a single implicit surface, with similar results for planar and space curves. It is shown how this unified representation can be used for object recognition, object position estimation, and segmentation of objects into meaningful subobjects, that is, the detection of `interest regions' that are more complex than high curvature regions and, hence, more useful as features for object recognition}, abstract = {The author addresses the problem of parametric representation and estimation of complex planar curves in 2-D surfaces in 3-D, and nonplanar space curves in 3-D. Curves and surfaces can be defined either parametrically or implicitly, with the latter representation used here. A planar curve is the set of zeros of a smooth function of two variables <e1>x</e1>-<e1>y</e1>, a surface is the set of zeros of a smooth function of three variables <e1>x</e1>-<e1>y</e1>-<e1>z</e1>, and a space curve is the intersection of two surfaces, which are the set of zeros of two linearly independent smooth functions of three variables <e1>x</e1>-<e1>y</e1>-<e1>z</e1> For example, the surface of a complex object in 3-D can be represented as a subset of a single implicit surface, with similar results for planar and space curves. It is shown how this unified representation can be used for object recognition, object position estimation, and segmentation of objects into meaningful subobjects, that is, the detection of `interest regions' that are more complex than high curvature regions and, hence, more useful as features for object recognition},
author = {Taubin, Gabriel}, author = {Taubin, Gabriel},
...@@ -915,6 +937,13 @@ ...@@ -915,6 +937,13 @@
journal = {Retrieved on August}, journal = {Retrieved on August},
volume = {6} volume = {6}
} }
@article{Sol2018AML,
title = {A micro Lie theory for state estimation in robotics},
author = {Joan Sol{\`a} and J{\'e}r{\'e}mie Deray and Dinesh Atchuthan},
journal = {ArXiv},
year = {2018},
volume={abs/1812.01537}
}
@misc{SteweniusCFS, @misc{SteweniusCFS,
author = {Stewenius, Henrik}, author = {Stewenius, Henrik},
title = {Calibrated Fivepoint solver}, title = {Calibrated Fivepoint solver},
......
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