Image from [Galego14].
Objectives:
A fiberscope
carries imaging through a bundle of optic fibers. In a simple description, one
may say that each optic fiber transports "one pixel". Pointing the optic-fiber
bundle (cable) according to multiple azimuth and elevation angles allows
obtaining multiples images which can be fused to form a panoramic image.
The main
objectives of the work are the following:
- mounting a
fiberscope based in a standard video camera and a cable of optic fibers,
- mounting one end of the flexible optic-fibers-cable on top
of a pan-tilt-basis,
- calibrating the
fiberscope in order to obtain images readable by humans,
- obtaining panoramic images
by fusing multiple (narrow field) images.
Requirements (grades, required courses, etc):
--
Localization:
ISR / IST
Observations:
This work has its
motivation in recent research which has show that under certain conditions a
cross-cut cable of a fiberscope can be reconnected. The disarrangement of the
various fiber tips can be estimated by image processing methodologies. The work
is originally inspired by the, still distant, biological goal of reconnecting
damaged optic nerves.
Previous works
conducted at ISR/IST provide good starting points for the thesis. In particular
a number of hardware prototypes already exist, together with a number of
datasets.
References:
[Bouguet-WWW] Jean-Yves Bouguet,
"Camera calibration toolbox for matlab",
http://www.vision.caltech.edu/bouguetj/calib_doc/
[Hassanpour04]
Camera auto-calibration using a sequence of 2D images with small rotations,
Reza Hassanpour, Volkan Atalay, Pattern Recognition Letters, Vol.25, Issue 9, 2
July 2004, Pages 989-997
[Agapito01] Agapito, L., Hayman, E., Reid, I.D., 2001. Self calibration of rotating and zooming cameras. Int. J. Comput.
Vision 45(2), 107–127.
[Neumann05]
"Compound Eye Sensor for 3D Ego Motion Estimation", Jan Neumann,
Cornelia Fermuller, Yiannis
Aloimonos, Vladimir Brajovic,
IROS 2005, see also http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.929
[Grossmann10]
"Discrete camera calibration from pixel streams", Etienne Grossmann,
José António Gaspar and Francesco Orabona,
Computer Vision and Image Understanding (Special issue on Omnidirectional Vision,
Camera Networks and Non-conventional Cameras), Volume 114, Issue 2, Pages
198-209, February 2010.
[Galego13]
"Topological Auto-Calibration of Central Imaging Sensors", R. Galego, R. Ferreira, A. Bernardino, E. Grossmann and J.
Gaspar, IbPRIA 2013
[Galego14]
"Discrete Camera Autocalibration Consistent with
the Frame of the Robotic Pan-Tilt Basis", R. Galego,
R. Ferreira, A. Bernardino, E. Grossmann, J. Gaspar, Procedia
Technology 17, 186-193, 2014 Elsevier
More information about this
project:
http://users.isr.tecnico.ulisboa.pt/~jag/msc/msc_2017_2018.html