Talha Hanif Butt

Lahore University of Management Sciences

Papers

1

Total Citations

12

H-Index

1

About

Talha Hanif Butt is a computer vision researcher whose work centers on camera calibration, 3D reconstruction, and robotic perception. His most cited contribution, "Camera Calibration Through Camera Projection Loss" (2022, 12 citations), introduces a novel method for predicting both extrinsic parameters—such as baseline, pitch, and translation—and intrinsic parameters like focal length and principal point offset. This approach addresses fundamental challenges in tasks ranging from autonomous driving to hand-eye coordination in robotics, offering a more robust solution to a classic problem. By reframing calibration as a projection loss optimization, Butt's work has provided a practical tool for improving accuracy in 3D reconstruction and spatial reasoning. His research sits at the intersection of geometric computer vision and applied robotics, with clear implications for real-world systems that require precise environmental understanding. While early in his career, Butt's focused contributions to camera calibration demonstrate a commitment to solving core problems that underpin more advanced autonomous and interactive technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Camera Calibration Through Camera Projection Loss
12 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Lahore University of Management Sciences

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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