Today, at the 2016 SIAM Conference on Imaging Science in Albuquerque, Laurent, the CTO and Co-Founder of LightOn will be presenting at the Computational Imaging Systems minisymposium (9:30 AM-11:30 AM, Room:Alvarado Ballroom C).
Among the work Laurent will present, he will mention our earlier Proof of Concept (Random Projections through multiple optical scattering: Approximating kernels at the speed of light,)
I am currently thinking about submitting a workshop or symposium around Machine Learning and Hardware at NIPS. If you are interested or know a similar endeavor, please get in touch and let's make this happen.
This minisymposium emphasizes the interaction between sensing hardware and computational methods in computational imaging systems. Novel sensing hardware together with algorithms that exploit the unique properties of the data acquired by this hardware has enabled the development of imaging systems with remarkable abilities that could not be achieved via traditional methods. This minisymposium brings together four leaders in the field of computational photography, and provides a cross-section of recent advances in this area.
9:30-9:55 Macroscopic Fourier Ptychography, Oliver Cossairt, Northwestern University,
USA; Jason R. Holloway and Ashok Veeraraghavan, Rice University, USA; Manoj Sharma, Northwestern University, USA; Salman Asif, Rice University, USA; Nathan Matsuda, Northwestern University, USA; Roarke Horstmeyer, California Institute of
Technology, USA10:00-10:25 Lensless Imaging Ashok Veeraraghavan, Rice University, USA
10:30-10:55 Photon-Efficient Reflectivity and Depth Imaging under Significant Ambient Light Vivek K. Goyal, Boston University, USA
11:00-11:25 Harvesting Nature: from Computational Imaging to Optical Computing
Laurent Daudet, Université Paris-Diderot, France
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