Image Disorientation Auto-Recovery
| dc.contributor.author | Wang, Jia | en_US |
| dc.contributor.author | Zhang, Yin | en_US |
| dc.contributor.author | Chen, Zhiyuan | en_US |
| dc.contributor.author | Zhang, Yu | en_US |
| dc.date.accessioned | 2007-04-23T18:16:10Z | |
| dc.date.available | 2007-04-23T18:16:10Z | |
| dc.date.issued | 1999-02 | en_US |
| dc.description.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. | en_US |
| dc.format.extent | 201925 bytes | |
| dc.format.extent | 3164163 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.format.mimetype | application/postscript | |
| dc.identifier.citation | http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR99-1729 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1813/7383 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Cornell University | en_US |
| dc.subject | computer science | en_US |
| dc.subject | technical report | en_US |
| dc.title | Image Disorientation Auto-Recovery | en_US |
| dc.type | technical report | en_US |