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Seminar: "Toward Micro Vision Sensors" by Sanjeev J. Koppal

Thursday, May 18, 2017 11:00 AM to 12:00 PM
CREOL Room 103

Sanjeev J. Koppal

Abstract:

Miniature computing platforms will influence fields such as geographic and environment sensing, search and rescue, industrial control and monitoring, energy and health. Computer vision algorithms can broaden this impact by allowing small devices to utilize the rich visual information of their surroundings. However, achieving computer vision on small form factor devices is a challenge due to the severe constraints of power and mass. We propose to build vision sensors where the optics of the system perform a significant portion of the computational burden. Balancing the performance of any particular computer vision algorithm with the physical aspects of the sensor (such as field-of-view, mass, power consumption etc) provides a rich source of interesting, new research problems. We discuss recent efforts applying visual recognition on micro-robots and creating low-power LIDAR.

Biography:

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.

For additional information:

Kyle Renshaw
krenshaw@creol.ucf.edu

 

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