摘要：Light is crucial to our ability to perceive and successfully interact with our environment. As rays of light reach our eyes from every possible direction, either directly from the source or reflected off of objects and surfaces, they excite our visual system, which translates them to spatial, temporal, textural/colour-gamut information.

Conventional visual capturing technologies are unable to fully acquire these properties, necessary to mimic human perception. In particular, traditional technologies have been limited to capturing only the sum total intensity of light rays striking every point in the targeted space. This is far from the visual world as perceived by humans, as we need somehow to capture light intensity and direction as well as the exact placement of every point in space along with other relevant visual and situational cues.

In this talk, we will discuss ways for acquiring human-like visual data that may allow ultimate replication of our visual environment, closely mimicking human perception. Then we will examine how such information can drastically affect domains that depend heavily on visual acquisition technologies, such as entertainment/education & training, autonomous driving, highly immersive Virtual Reality (VR) and Augmented Reality (AR) & gaming education/training, Digital health and wellness.

附主讲人简介：

Professor Panos Nasiopoulos is Fellow of the Canadian Academy of Engineering, Fellow of IEEE, the Director of the Institute for Computing, Information and Cognitive Systems at University of British Columbia (UBC) and the Inaugural Holder of the Dolby Professorship in Digital Multimedia. Before joining UBC, he was the President of Daikin US (founder of DVD) and Executive VP of Sonic. He was voted as one of the most influential DVD executives in the world, and recognized as a leading authority on DVD and multimedia. Professor Panos Nasiopoulos is a registered Professional Engineer in BC and an active member of the Standards Council of Canada, MPEG and IEEE.