Determining the Camera Response from Images: What Is Knowable?
By M. Grossberg, Shree K. Nayar. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003
344 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/3cfab079ab6acda8cbda0193fcd53b51a9f73dfe
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Xiaogang Wang
- Mubarak Shah
- Ming-Hsuan Yang
- Yu-Wing Tai
- Luc Van Gool
- Dacheng Tao
- Chen Change Loy
- Chi-Keung Tang
In Media Technology
- Zeeshan Rasheed
- Mubarak Shah
- Jiarui Xu
- Chi-Keung Tang
- Shangzhe Wu
- Khurram Shafique
- Omar Javed
- Yu-Wing Tai
Citations in the corpus
- Appearance modeling for tracking in multiple non-overlapping cameras (2005, methodology): “It is shown in [5] that most of the real world response functions are sufficiently well approximated by polynomials of degrees less than or equal to 10.”
- Modeling inter-camera space-time and appearance relationships for tracking across non-overlapping views (2008, methodology): “Note that, a similar strategy was adopted by Grossberg and Nayar [9] to obtain a BTF between images taken from the same camera of the same view but in different illumination conditions.”
- Deep High Dynamic Range Imaging with Large Foreground Motions (2017, methodology): “Given a stack of LDR images, if they are not in RAW format, we first linearize the images using the estimated inverse of Camera Response Function (CRF) [6], which is often referred to as radiometric calibration.”