Faisal Bukhari

Papers

Total Citations

163

H-Index

About

Faisal Bukhari is a computer vision researcher whose work has significantly advanced the field of geometric image processing. His most impactful contribution, the 2012 paper "Automatic Radial Distortion Estimation from a Single Image," has garnered 163 citations, establishing a foundational method for correcting lens distortion without requiring specialized calibration patterns. This work addresses a critical challenge in computational photography and 3D reconstruction, enabling more accurate image analysis from everyday cameras. Bukhari's research primarily focuses on camera calibration, distortion correction, and image-based 3D modeling, where he has developed practical, automated solutions that bridge the gap between theoretical computer vision and real-world applications. His approach to radial distortion estimation—using line-based geometric constraints from a single image—has been widely adopted in both academic research and industrial systems, demonstrating its robustness and efficiency. By simplifying the calibration process, Bukhari's work has empowered researchers and engineers to achieve higher precision in tasks ranging from panoramic stitching to autonomous navigation. His contributions continue to influence the development of more accessible and reliable computer vision tools.