Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Panoramic video using scale-invariant feature transform with embedded color-invariant values

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Oh-Seol Kwon ; Sch. of Electr. Eng. & Comput. Sci., Kyungpook Nat. Univ., Taegu, South Korea ; Yeong-Ho Ha

The resolutions offered by today¿s multimedia vary significantly owing to the development of video technology. For example, there is a huge gap between the resolution of cellular phones as small input devices and beam projectors as large output devices. Thus, panoramic video technology is one method that can convert a small resolution into a large resolution to lend realism and wide vision to a scene. Yet, transforming the resolution of an image requires feature or object matching based on extracting important information from the image, where the scale-invariant feature transform (SIFT) is one of the most robust and widely used methods. However, identifying corresponding points becomes difficult in the case of changing illumination or two surfaces with a similar intensity, as SIFT extracts features using only gray information. Therefore, this paper proposes a method of image stitching based on color-invariant features for automated panoramic videos. Color-invariant features can discount the illumination, highlights, and shadows in a scene, as they include the property of the surface reflectance independent of illumination changes. The effectiveness and accuracy of the feature matching with the proposed algorithm are verified using objects and illuminations in a booth, followed by panoramic videos.

Published in:

Consumer Electronics, IEEE Transactions on  (Volume:56 ,  Issue: 2 )