dc.contributor.author |
Senarathne, N |
|
dc.contributor.author |
Ransiri, S |
|
dc.contributor.author |
Balasooriya, A |
|
dc.contributor.author |
Arangala, P |
|
dc.contributor.author |
De Silva, CR |
|
dc.contributor.editor |
Nanayakkara, V |
|
dc.contributor.editor |
Gunasinghe, UP |
|
dc.date.accessioned |
2022-11-24T09:36:19Z |
|
dc.date.available |
2022-11-24T09:36:19Z |
|
dc.date.issued |
2009-07 |
|
dc.identifier.citation |
**** |
en_US |
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/19590 |
|
dc.description.abstract |
This paper presents a new algorithm for Image
Registration and Stitching. The algorithm is designed to be
extremely efficient and fast in its execution and is intended
for use in stitching images extracted from a video stream of
a camera. This algorithm is not universally applicable to all
the image registration and stitching problems. It is
customized to be used to generate single images of surfaces
such as a conveyor belt or undercarriage of vehicles, which
cannot be captured by a single photo. The algorithm works
by extracting edges of the two images to be registered. Then
it selects a reference section from the first image and search
in the second image where it finds the best match for that
section. The best match is the least difference score. The
section in the second image which gives the least difference
score is then identified as the registration point between the
two images. The speed of the algorithm is improved by
using heuristics to restrict the search space in the second
image. We present full details of how the extraction of the
heuristic is done from the inputs and how it drastically
reduces the execution time of the algorithm. The
implementation of the algorithm was done in MATLAB
and the details of the MATLAB functions are listed in the
paper. The paper also contains a full section on comparing
our algorithm with a set of existing algorithms. Our
algorithm outperforms the existing ones for all the common
image sizes. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Computer Science & Engineering Society c/o Department of Computer Science and Engineering, University of Moratuwa. |
en_US |
dc.subject |
Image pyramids |
en_US |
dc.subject |
Image registration |
en_US |
dc.subject |
Image sticking |
en_US |
dc.title |
A faster image registration and stitching algorithm |
en_US |
dc.type |
Conference-Full-text |
en_US |
dc.identifier.faculty |
IT |
en_US |
dc.identifier.department |
Department of Computer Science and Engineering |
en_US |
dc.identifier.year |
2009 |
en_US |
dc.identifier.conference |
CS & ES Conference 2009 |
en_US |
dc.identifier.place |
Colombo, Sri Lanka |
en_US |
dc.identifier.pgnos |
pp. 19-26 |
en_US |
dc.identifier.proceeding |
Proceedings of the CS & ES Conference 2009 |
en_US |