Jezia Yousfi
Papers
1
Total Citations
2
H-Index
1
About
Jezia Yousfi is a researcher specializing in computer vision and robotic perception, with a particular focus on 3D reconstruction and image-based metrology. Her work addresses critical challenges in spatial accuracy when reconstructing three-dimensional environments from two-dimensional images, especially in robotic applications. Her most cited paper, "Study on the strategy of 3D images based reconstruction using a camera attached to a robot arm" (2019), tackles the metric distance errors that arise from optimization methods performed in the 2D image plane. By developing strategies for geometric primitive extraction and correspondence, Yousfi contributes to improving the precision of Euclidean image-based 3D reconstruction—a key requirement for autonomous robotics, industrial inspection, and augmented reality. Though her citation count is still growing, her research lays important groundwork for enhancing the reliability of vision-guided robotic systems. Yousfi’s work sits at the intersection of computer vision, robotics, and geometric optimization, offering practical solutions for real-world 3D measurement challenges.
Research Focus
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Top Papers
- 1