Tzofi Klinghoffer
Papers
1
Total Citations
2
H-Index
1
About
Tzofi Klinghoffer is an emerging researcher working at the intersection of computer vision, 3D reconstruction, and sensor fusion. Their most notable work, "Blurred LiDAR for Sharper 3D" (2025), tackles a fundamental challenge in handheld 3D scanning: the failure of RGB-based reconstruction in difficult real-world conditions such as low-texture, low-light, and low-albedo environments. By combining diffuse LiDAR sensing with RGB imaging, Klinghoffer's approach pushes the boundaries of what is achievable with consumer-grade mobile scanning hardware, making robust 3D surface reconstruction more accessible across applications in virtual reality, robotics, and everyday mobile use. Though still early in their research career, this work has already attracted attention within the community, garnering citations shortly after publication — a promising indicator of its relevance and originality. Klinghoffer's research reflects a broader movement toward democratizing high-quality 3D capture by leveraging the sensors already embedded in modern devices, rather than requiring expensive specialized equipment. Students and researchers interested in practical, hardware-aware computer vision will find Klinghoffer's contributions both timely and technically substantive.
Research Focus
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Top Papers
- 1