Paper Info
Title
Undistorting Foreground Objects in Wide Angle Images
Abstract
The use of wide angle lens on commodity cameras are becoming increasingly popular. However, this leads to image distortions due to the large difference in relative orientation of the different foreground objects with respect to the camera's image plane. More importantly, these distortions are different in different parts of the image since it depends entirely on the position and orientation of the foreground object with respect to the image plane. Such distortions often manifest themselves as objects in the foreground appearing fatter than they are supposed to be or parts thereof (e.g. hands or head of people) looking disproportionately larger than the rest of them. Though there are earlier works addressing other common distortions in cameras like radial distortions, little attention has been given to this problem. In this paper, we present an effective method to remove such distortions in foreground objects minimally distorting the background. This is achieved efficiently using a mesh-based pixel displacement technique assisted by a simple and intuitive user interface design.
Year
DOI
Venue
2013
10.1109/ISM.2013.17
Multimedia
Keywords
Field
DocType
different part,image distortion,image plane,undistorting foreground objects,wide angle images,different foreground object,effective method,intuitive user interface design,common distortion,commodity camera,foreground object,relative orientation,image resolution,mesh generation
Computer vision,Wide-angle lens,Feature detection (computer vision),Computer graphics (images),Computer science,Image plane,Binary image,Image editing,Pixel,Artificial intelligence,Image resolution,Mesh generation
Conference
ISBN
Citations 
PageRank 
978-0-7695-5140-1
0
0.34
References 
Authors
14
3
Name
Order
Citations
PageRank
Mahdi Abbaspour Tehrani142.44
Aditi Majumder278862.12
M. Gopi327224.83