Nikhil Behari

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About

Nikhil Behari is an emerging researcher working at the intersection of 3D computer vision, depth sensing, and scene reconstruction. His work focuses on advancing the robustness and accessibility of 3D scanning technologies, particularly for real-world conditions that challenge conventional methods. In his notable 2025 paper, "Blurred LiDAR for Sharper 3D: Robust Handheld 3D Scanning with Diffuse LiDAR and RGB," Behari tackles a fundamental limitation in modern handheld scanning: the frequent failure of RGB-based reconstruction in low-texture, low-light, and low-albedo environments. By innovatively combining diffuse LiDAR signals with RGB imagery, his approach aims to make high-quality 3D surface reconstruction more reliable across diverse and difficult real-world conditions — a critical step for applications spanning virtual reality, robotics, and mobile scanning. With citations already accumulating in the early months following publication, his research signals meaningful potential impact within the computer vision community. As mobile LiDAR hardware becomes increasingly ubiquitous on consumer devices, Behari's contributions position him as a researcher addressing timely and practically significant challenges in bringing robust 3D sensing to everyday use.