Robohub.org
 

Anat Levin: Light-Sensitive Displays | CMU RI Seminar


by
29 September 2018



share this:

Link to video on YouTube

Abstract: “Nobel prize winner M. G. Lippmann described his dream of an ideal display as a “window into the world.” “While the current most perfect photographic print only shows one aspect of reality, reduced to a single image fixed in a plane, the direct view of reality offers, as we know, infinitely more variety.” Changing the observer’s viewpoint reveals perspective changes in object size and location. Moreover, changing the environment lighting can vary appearance substantially by shifting highlights and cast shadows. These effects are extremely important for shape and material perception, and thus for realism. Despite significant recent advances in multiscopic display technology, the majority of these displays are still limited in an important respect: one can only display a scene under the same illumination conditions in which it was captured. If the illumination in the observers environment changes during playback, there is no corresponding effect on the shading, highlight positions, or cast shadows that they witness on the display. In this talk I will survey a sequence of projects we carried in the last years, constructing several light-sensitive displays with different levels of complexities. Our ultimate goal is to build a 3D light-sensitive display, capable of presenting viewpoint-sensitive depth content as well as spatially-varying material reflectance properties that will accurately react to the interaction between environment lighting and scene geometry.”




John Payne





Related posts :



Robot Talk Episode 110 – Designing ethical robots, with Catherine Menon

  21 Feb 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Catherine Menon from the University of Hertfordshire about designing home assistance robots with ethics in mind.

Robot Talk Episode 109 – Building robots at home, with Dan Nicholson

  14 Feb 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Dan Nicholson from MakerForge.tech about creating open source robotics projects you can do at home.

Robot Talk Episode 108 – Giving robots the sense of touch, with Anuradha Ranasinghe

  07 Feb 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Anuradha Ranasinghe from Liverpool Hope University about haptic sensors for wearable tech and robotics.

Robot Talk Episode 107 – Animal-inspired robot movement, with Robert Siddall

  31 Jan 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Robert Siddall from the University of Surrey about novel robot designs inspired by the way real animals move.

Robot Talk Episode 106 – The future of intelligent systems, with Didem Gurdur Broo

  24 Jan 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Didem Gurdur Broo from Uppsala University about how to shape the future of robotics, autonomous vehicles, and industrial automation.

Robot Talk Episode 105 – Working with robots in industry, with Gianmarco Pisanelli 

  17 Jan 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Gianmarco Pisanelli from the Advanced Manufacturing Research Centre about how to promote the safe and intuitive use of robots in manufacturing.

Robot Talk Episode 104 – Robot swarms inspired by nature, with Kirstin Petersen

  10 Jan 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Kirstin Petersen from Cornell University about how robots can work together to achieve complex behaviours.

Robot Talk Episode 103 – Delivering medicine by drone, with Keenan Wyrobek

  20 Dec 2024
In the latest episode of the Robot Talk podcast, Claire chatted to Keenan Wyrobek from Zipline about drones for delivering life-saving medicine to remote locations.





Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association