Sanjeev Koppal, Ph.D
Assistant Professor
Department of Electrical & Computer Engineering
University of Florida
“Fast Foveating Cameras”
Tuesday, February 26, 2019 – 2:00 pm
DBH 3011, Building 314
https://www.parking.uci.edu/maps/documents/UCI-CampusCore_2018.pdf
No cost to attend – Open to the public
Seating is on a first-come, first-served basis
Abstract: Biological vision performs amazing visual tasks with negligible power consumption. Insect eyes for example, allow for optical flow, obstacle avoidance, target tracking, navigation and even object recognition using micro-watts of power. If robotic drones had this kind of low power vision, we could imagine massive impact on a variety of fields. However, despite the fantastic strides in computer vision in recent years, delivering such high-performance and real-time capability, within tiny power budgets, is still a distant dream. The reason is that core computer vision algorithms usually follow a predictable pattern: large amounts of high-resolution imagery and video are combined with massive amounts of computation. While this achieves spectacular results in many domains, a new approach is required for the coming wave of next generation miniature devices. These are micro and nano-scale devices. This talk is about our work in solving the core optics and sensing problems that will enable computer vision on miniature platforms. Allowing these small devices to reliably sense their surroundings has the potential for a major transformation in computer vision.
About the Speaker: Sanjeev J. Koppal is an assistant professor at the University of Florida’s ECE department. Prior to joining UF, he was a researcher at the Texas Instruments Imaging R&D lab. Sanjeev obtained his Masters and Ph.D. degrees from the Robotics Institute at Carnegie Mellon University, where his adviser was Prof. Srinivasa Narasimhan. After CMU, he was a post-doctoral research associate in the School of Engineering and Applied Sciences at Harvard University, with Prof. Todd Zickler. He received his B.S. degree from the University of Southern California in 2003. His interests span computer vision, computational photography and optics and include novel cameras and sensors, 3D reconstruction, physics-based vision and active illumination. His lab is supported by the NSF, UF MIST, the ONR and the DHS.