Register now After registration you will be able to apply for this opportunity online.
This opportunity is not published. No applications will be accepted.
Computational Photography and Videography
Combine the complementary information from standard and event cameras to enhance images and video.
Computational Photography is a hot topic in computer vision because it finds widespread applications in mobile devices. Traditionally, the problem has been studied using frames from a single camera. Today, mobile devices feature multiple cameras and sensors that can be combined to push the frontier in computational photography and videography. In previous work (https://youtu.be/eomALySSGVU), we have successfully reconstructed high-speed, HDR video from events. In this project, we aim for combining information from a standard and event camera to exploit their complementary nature. Applications range from high-speed, HDR video to deblurring and beyond. Contact us for more details.
Computational Photography is a hot topic in computer vision because it finds widespread applications in mobile devices. Traditionally, the problem has been studied using frames from a single camera. Today, mobile devices feature multiple cameras and sensors that can be combined to push the frontier in computational photography and videography. In previous work (https://youtu.be/eomALySSGVU), we have successfully reconstructed high-speed, HDR video from events. In this project, we aim for combining information from a standard and event camera to exploit their complementary nature. Applications range from high-speed, HDR video to deblurring and beyond. Contact us for more details.
Not specified
Mathias Gehrig (mgehrig at ifi.uzh.ch); Daniel Gehrig (dgehrig at ifi.uzh.ch)
Mathias Gehrig (mgehrig at ifi.uzh.ch); Daniel Gehrig (dgehrig at ifi.uzh.ch)