Composition Context Photography

Abstract

Cameras are becoming increasingly aware of the picture-taking context, collecting extra information around the act of photographing. This contextual information enables the computational generation of a wide range of enhanced photographic outputs, effectively expanding the imaging experience provided by consumer cameras. Computer vision and computational photography techniques can be applied to provide image composites, such as panoramas, high dynamic range images, and stroboscopic images, as well as automatically selecting individual alternative frames. Our technology can be integrated into point-and shoot cameras, and it effectively expands the photographic possibilities for casual and amateur users, who often rely on automatic camera modes.

Cite

Text

Vaquero and Turk. "Composition Context Photography." IEEE/CVF Winter Conference on Applications of Computer Vision, 2015. doi:10.1109/WACV.2015.92

Markdown

[Vaquero and Turk. "Composition Context Photography." IEEE/CVF Winter Conference on Applications of Computer Vision, 2015.](https://mlanthology.org/wacv/2015/vaquero2015wacv-composition/) doi:10.1109/WACV.2015.92

BibTeX

@inproceedings{vaquero2015wacv-composition,
  title     = {{Composition Context Photography}},
  author    = {Vaquero, Daniel A. and Turk, Matthew},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
  year      = {2015},
  pages     = {649-656},
  doi       = {10.1109/WACV.2015.92},
  url       = {https://mlanthology.org/wacv/2015/vaquero2015wacv-composition/}
}