Full text
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (908kB) | Preview |
Blanco Adán, Carlos Roberto del, Jaureguizar Núñez, Fernando, Salgado Álvarez de Sotomayor, Luis and García Santos, Narciso (2008). Motion estimation through efficient matching of a reduced number of reliable singular points. In: "IS&T / SPIE Electronic Imaging 2008", 28/01/2008-29/01/2008, San Jose, California (Estados Unidos). ISBN 978-0819469830. pp. 681102201-681102212. https://doi.org/10.1117/12.768125.
Title: | Motion estimation through efficient matching of a reduced number of reliable singular points |
---|---|
Author/s: |
|
Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | IS&T / SPIE Electronic Imaging 2008 |
Event Dates: | 28/01/2008-29/01/2008 |
Event Location: | San Jose, California (Estados Unidos) |
Title of Book: | Real-Time Image Processing 2008: Proceedings of Electronic Imaging, Science and Technology |
Date: | 2008 |
ISBN: | 978-0819469830 |
Subjects: | |
Freetext Keywords: | Real Time, Motion Estimation, Singular Point, Noise Adaptive, Point descriptor, Point Matching |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Señales, Sistemas y Radiocomunicaciones |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (908kB) | Preview |
Motion estimation in video sequences is a classical intensive computational task that is required for a wide range of applications. Many different methods have been proposed to reduce the computational complexity, but the achieved reduction is not enough to allow real time operation in a non-specialized hardware. In this paper an efficient selection of singular points for fast matching between consecutive images is presented, which allows to achieve real time operation. The selection of singular points lies in finding the image points that are robust to the noise and the aperture problem. This is accomplished by imposing restrictions related to the gradient magnitude and the cornerness. The neighborhood of each singular point is characterized by a complex descriptor vector, which presents a high robustness to illumination changes and small variations in the 3D camera viewpoint. The matching between singular points of consecutive images is performed by maximizing a similarity measure based on the previous descriptor vector. The set of correspondences yields a sparse motion vector field that accurately outlines the image motion. In order to demonstrate the efficiency of this approach, a video stabilization application has been developed, which uses the sparse motion vector field as input. Excellent results have been obtained in synthetic and real sequences, demonstrating the efficiency of the proposed motion estimation technique.
Item ID: | 3802 |
---|---|
DC Identifier: | https://oa.upm.es/3802/ |
OAI Identifier: | oai:oa.upm.es:3802 |
DOI: | 10.1117/12.768125 |
Deposited by: | Memoria Investigacion |
Deposited on: | 21 Jul 2010 12:03 |
Last Modified: | 20 Apr 2016 13:16 |