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Tali Dekel - How Can Computer Vision Reduce or Magnify Subtle Imperfection in Digital Images?

Structures and objects, captured in image data, are often idealized by the human eye. For example, buildings may seem to be perfectly straight, or repeating structures such as corn’s kernels may seem almost identical. However, in reality, such flawless behavior hardly exists. Tali shows how to render new images in which spatial imperfection are either reduced or magnified. Reducing the imperfections can be used as a graphic tool for beautifying images. Alternatively, increasing the spatial irregularities allows to reveal useful and surprising information that is hard to visually perceive by the naked eye.

- Tali Dekel, Google, Research Scientist

LDV Vision Summit 2017
ldv.co/visionsummit

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