Jump to : Download | Abstract | Contact | BibTex reference | EndNote reference |


Tian-Tsong Ng, Shih-Fu Chang, Mao-Pei Tsui. Using Geometry Invariants for Camera Response Function Estimation. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2007.

Download [help]

Download paper: Adobe portable document (pdf)

Copyright notice:This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.


In this paper, we present a new single-image camera response function (CRF) estimation method using geometry invariants (GI). We derive mathematical properties and geometric interpretation for GI, which lend insight to addressing various algorithm implementation issues in a principled way. In contrast to the previous single-image CRF estimation methods, our method provides a constraint equation for selecting the potential target data points. While the performance of our method is comparable to those in the prior work, our experiment is conducted over more extensive data and our method is flexible in that its estimation accuracy and stability can be improved whenever more than one image is available. The geometry invariance theory is novel and may be of wide interest.


Tian-Tsong Ng
Shih-Fu Chang

BibTex Reference

   Author = {Ng, Tian-Tsong and Chang, Shih-Fu and Tsui, Mao-Pei},
   Title = {Using Geometry Invariants for Camera Response Function Estimation},
   BookTitle = {IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)},
   Month = {June},
   Year = {2007}

EndNote Reference [help]

Get EndNote Reference (.ref)


For problems or questions regarding this web site contact The Web Master.

This document was translated automatically from BibTEX by bib2html (Copyright 2003 © Eric Marchand, INRIA, Vista Project).