Sciweavers

Share
CVPR
2007
IEEE

Using Geometry Invariants for Camera Response Function Estimation

11 years 11 days ago
Using Geometry Invariants for Camera Response Function Estimation
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. Comparing to 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, Mao-Pei Tsui
Added 12 Oct 2009
Updated 28 Oct 2009
Type Conference
Year 2007
Where CVPR
Authors Tian-Tsong Ng, Shih-Fu Chang, Mao-Pei Tsui
Comments (0)
books