Srinivasa Narasimhan
· Robotics Institute (interim)VerifiedCarnegie Mellon University
Research topics
- Computer Science
- Artificial Intelligence
- Optics
- Computer vision
- Physics
- Geometry
- Acoustics
- Mathematics
- Computer graphics (images)
Selected publications
Dual-Shutter Optical Vibration Sensing
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 21 citations
Senior authorCorresponding- Computer Science
- Artificial Intelligence
- Computer Science
Visual vibrometry is a highly useful tool for remote capture of audio, as well as the physical properties of materials, human heart rate, and more. While visually-observable vibrations can be captured directly with a high-speed camera, minute imperceptible object vibrations can be optically amplified by imaging the displacement of a speckle pattern, created by shining a laser beam on the vibrating surface. In this paper, we propose a novel method for sensing vibrations at high speeds (up to 63kHz), for multiple scene sources at once, using sensors rated for only 130Hz operation. Our method relies on simultaneously capturing the scene with two cameras equipped with rolling and global shutter sensors, respectively. The rolling shutter camera captures distorted speckle images that encode the high-speed object vibrations. The global shutter camera captures undistorted reference images of the speckle pattern, helping to decode the source vibrations. We demonstrate our method by capturing vibration caused by audio sources (e.g. speakers, human voice, and musical instruments) and analyzing the vibration modes of a tuning fork.
Holocurtains: Programming Light Curtains via Binary Holography
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 13 citations
- Computer Science
- Artificial Intelligence
- Computer Science
Light curtain systems are designed for detecting the presence of objects within a user-defined 3D region of space, which has many applications across vision and robotics. However, the shape of light curtains have so far been limited to ruled surfaces, i.e., surfaces composed of straight lines. In this work, we propose Holocurtains: a light-efficient approach to producing light curtains of arbitrary shape. The key idea is to synchronize a rolling-shutter camera with a 2D holographic projector, which steers (rather than block) light to generate bright structured light patterns. Our prototype projector uses a binary digital micromirror device (DMD) to generate the holographic interference patterns at high speeds. Our system produces 3D light curtains that cannot be achieved with traditional light curtain setups and thus enables all-new applications, including the ability to simultaneously capture multiple light curtains in a single frame, detect subtle changes in scene geometry, and transform any 3D surface into an optical touch interface.
Recent grants
NSF · $2.9M · 2018–2024
CAREER: Making Computer Vision Successful in Scattering Media
NSF · $500k · 2007–2012
CPS: TTP Option: Medium: Discovering and Resolving Anomalies in Smart Cities
NSF · $1.2M · 2020–2024
NSF · $175k · 2006–2009
RI: Medium: To Sense or Not to Sense: Energy Efficient Adaptive Sensing for Autonomous Systems
NSF · $1.2M · 2019–2022
- Resume-aware match score
- Save to shortlist
- AI-drafted outreach
See your match with Srinivasa Narasimhan
PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.
- Free to start
- No credit card
- 30-second signup