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Image Disorientation Auto-Recovery

File(s)
99-1729.pdf (197.19 KB)
99-1729.ps (3.02 MB)
Permanent Link(s)
https://hdl.handle.net/1813/7383
Collections
Computer Science Technical Reports
Author
Wang, Jia
Zhang, Yin
Chen, Zhiyuan
Zhang, Yu
Abstract

Automatically detecting and correcting disoriented image frames in a content-related image sequence is a problem that must be addressed in many image and video applications. In this paper, we give a robust feature-based algorithm to efficiently detect and adjust the disorientation of images.

Date Issued
1999-02
Publisher
Cornell University
Keywords
computer science
•
technical report
Previously Published as
http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR99-1729
Type
technical report

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