By Topic

On active camera control and camera motion recovery with foveate wavelet transform

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)
Jie Wei ; Dept. of Comput. Sci., City Coll. of New York, NY, USA ; Ze-Nian Li

In this paper, a new variable resolution technique, foveate wavelet transform (FWT), is proposed to represent digital images in an effort to efficiently represent visual data. Compared to existing variable resolution techniques, the strength of the proposed scheme encompasses its linearity preservation, orientation selectivity, and flexibility while supporting interesting behaviors resembling the animate vision system. The linearity preservation of the FWT is due to the fact that only low and/or high-pass filterings are carried out in different regions of an image in the transform. The orientation selectivity indicates the fact that details along the horizontal, vertical, and diagonal directions are readily available in the FWT representation. The flexibility of this new representation technique is witnessed by the readiness of its extensions to represent foveae of different number, shape, and locations. To demonstrate the efficacy of the FWT, two applications are presented. First, an FWT-based active camera control scheme is developed, where the computer can move a camera to track the moving object in the scene. Second, an FWT-based method purporting to recover pan/tilt/zoom camera movements from video clips is developed. Experiments of these two applications have shown encouraging performances

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:23 ,  Issue: 8 )