DEEPFOCAL: A method for direct focal length estimation

@article{Workman2015DEEPFOCALAM,
  title={DEEPFOCAL: A method for direct focal length estimation},
  author={Scott Workman and Connor Greenwell and Menghua Zhai and Ryan Baltenberger and Nathan Jacobs},
  journal={2015 IEEE International Conference on Image Processing (ICIP)},
  year={2015},
  pages={1369-1373}
}
  • Scott Workman, Connor Greenwell, +2 authors Nathan Jacobs
  • Published 2015
  • Computer Science
  • 2015 IEEE International Conference on Image Processing (ICIP)
  • Estimating the focal length of an image is an important preprocessing step for many applications. Despite this, existing methods for single-view focal length estimation are limited in that they require particular geometric calibration objects, such as orthogonal vanishing points, co-planar circles, or a calibration grid, to occur in the field of view. In this work, we explore the application of a deep convolutional neural network, trained on natural images obtained from Internet photo… CONTINUE READING

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