Temporal coding of volumetric imagery

Patrick Llull


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Date: March 7, 2018


‘Image volumes’ refer to realizations of images in other dimensions such as time, spectrum, and focus. Recent advances in scientific, medical, and consumer applications demand improvements in image volume capture. Though image volume acquisition continues to advance, it maintains the same sampling mechanisms that have been used for decades; every voxel must be scanned or captured in parallel and is presumed independent of its neighbors. Under these conditions, improving performance comes at the cost of increased system complexity, data rates, and power consumption.
This talk describes systems and methods with which to efficiently detect and visualize image volumes by temporally encoding the extra dimensions’ information into 2D measurements or displays. Some highlights of my research include video and 3D recovery from photographs, and true-3D augmented reality image display by time multiplexing. In the talk, I show how temporal optical coding can improve system performance, battery life, and hardware simplicity for a variety of platforms and applications.

Further Information:

Currently with Google’s Daydream virtual reality team, Patrick Llull completed his Ph.D. under Prof. David Brady at the Duke University Imaging and Spectroscopy Program (DISP) in May 2016. His doctoral research focused on compressive video and multidimensional sensing, with research internship experience with Ricoh Innovations in near-eye multifocal displays. During his Ph.D. Patrick won two best paper awards and was an NSF graduate fellowship honorable mention. Patrick graduated with his BS from the University of Arizona’s College of Optical Sciences in May 2012.

Created: Thursday, March 8th, 2018