Raquel Gil Rodríguez

Otto-Behaghel-Str. 10F

35394 Giessen, Germany

+49(0)6419926119

I am a research scientist in computational colour at the Psychology Department, Justus-Liebig Universität, Giessen.

I always wonder: Why cameras do not capture the world as we perceive it? That question I tried to answer during my PhD. For that, I focused on the colour processing pipeline of the cameras.

One of the reasons is the limited dynamic range that the sensor can capture. High dynamic range imaging is a challenging topic in the cinema industry, professional cameras should reach high standards. But still, cameras lack the adaptability of our eyes. My suggestion would be … consider always working with RAW!

If we think about colour, why the same camera models do not capture/present the same colours? And what if we want to achieve the same professional standards working with a DSLR camera? Colour matching techniques can help us bring the image set to a reference colour space.

Now I am working to understand the way we perceive the world, especially colour. I believe virtual reality is the perfect tool for studying that. We cannot change the physics of our environment, but we can do it easily in virtual reality!

news

Sep 21, 2021 Deep Encoding with Colour Opponency: oral presentation at Color and Imaging Conference (CIC)

selected publications

    1. Vis. Res.
      Deciphering image contrast in object classification deep networks
      Akbarinia, Arash, and Gil Rodríguez, Raquel
      Vision Research 2020
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    2. IEEE-TIP
      Color Matching Images With Unknown Non-Linear Encodings
      Gil Rodríguez, Raquel, Vazquez-Corral, Javier, and Bertalmío, Marcelo
      IEEE Transactions on Image Processing 2020
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    3. SIAM-SIIMS
      Issues with common assumptions about the camera pipeline, and their impact in HDR imaging from multiple exposures
      Gil Rodríguez, Raquel, Vazquez-Corral, Javier, and Bertalmı́o, Marcelo
      SIAM Journal on Imaging Sciences 2020
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    4. SN Comput. Sci.
      Colour Calibration of a Head Mounted Display for Colour Vision Research Using Virtual Reality
      Gil Rodríguez, Raquel, Bayer, Florian, Toscani, Matteo, Guarnera, Dar’ya, Guarnera, Giuseppe Claudio, and Gegenfurtner, Karl R.
      SN Computer Science 2021
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