Tohid Erfani

Papers

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About

Tohid Erfani is a researcher whose work bridges the fields of photogrammetry, 3D imaging, and robotic calibration. His primary research focuses on developing automated, high-precision systems for 3D data acquisition and processing. Erfani’s most impactful contribution is his work on fully automatic 3D acquisition, detailed in his highly cited 2014 paper (38 citations), which presents a complete pipeline from designing an optimal imaging network to generating accurate, reliable point clouds. This work addresses a critical challenge in computer vision and metrology: moving beyond manual, error-prone scanning to fully autonomous, robust 3D reconstruction. Additionally, Erfani has made notable strides in robot calibration, as demonstrated by his 2013 paper (5 citations). In this work, he introduced a novel webcam-based photogrammetric method to calibrate a custom 5-DoF robot, ensuring precise camera positioning for close-range imaging tasks. This approach offers a cost-effective, accurate alternative to traditional calibration techniques. Through these contributions, Erfani has advanced the practical application of photogrammetry in robotics and automated inspection, laying groundwork for more intelligent and reliable 3D sensing systems.