Vishwanath Saragadam

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About

Vishwanath Saragadam is a researcher advancing the frontier of computational imaging and 3D sensing, with a focus on making high-performance depth acquisition practical for everyday devices. His most cited work, "Micro-Baseline Structured Light" (2019), introduces a novel 3D imaging paradigm specifically engineered for small form-factor platforms like smartphones and miniature robots. By operating with a tiny projector-camera baseline and low-cost projection hardware, MSL overcomes the traditional trade-off between compactness and depth accuracy, delivering computationally lightweight yet reliable scene recovery. This contribution addresses a critical bottleneck in deploying structured light on resource-constrained systems, bridging the gap between lab-grade precision and consumer-grade hardware. With 4 citations on this foundational paper, Saragadam’s ideas are gaining traction in the computer vision and optics communities. His broader research spans inverse problems, lensless imaging, and physics-based machine learning, where he consistently seeks to simplify complex sensing pipelines. For students and researchers, Saragadam’s work exemplifies how clever algorithmic design can unlock new capabilities in miniaturized imaging—a key enabler for the next generation of autonomous systems and mobile AR/VR.