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About

Srinivasa G. Narasimhan is a leading researcher in computational imaging and computer vision, with a focus on reimagining how cameras capture and interpret the world. His major contributions span time-of-flight (ToF) imaging, light curtain systems, and agricultural robotics. Narasimhan pioneered "Epipolar Time-of-Flight Imaging" (84 citations), which applies energy-efficient epipolar techniques to consumer depth sensors like Kinect, enabling live 3D imaging in challenging scenarios. He also developed "Programmable Triangulation Light Curtains" and "Holocurtains" (13 citations), advancing light curtain technology from simple ruled surfaces to complex, programmable 3D regions for object detection in vision and robotics. His work on "Dynamic Partial Reconfiguration for Embedded Vision" (16 citations) quantifies the benefits of FPGA reprogramming for real-time applications. Additionally, Narasimhan contributed to "Automated Visual Yield Estimation in Vineyards," a notable achievement in field robotics for agriculture. With over 150 total citations across his most-cited works, his research demonstrates a consistent drive to push the boundaries of sensor capabilities, from underwater photometric stereo to thermal pattern projection for dynamic tracking. His innovations have direct implications for autonomous systems, security, and environmental monitoring.