Peter Jojic
Papers
1
Total Citations
8
H-Index
1
About
Peter Jojic is a researcher whose work sits at the intersection of computer vision, robotics, and 3D reconstruction. His most cited paper, "Selecting good corners for structure and motion recovery using a time-of-flight camera" (2009, 8 citations), addresses a fundamental challenge in real-time localization and mapping: how to reliably select image features for accurate Structure from Motion (SfM) and Simultaneous Localization and Mapping (SLAM) algorithms. By integrating time-of-flight depth data with traditional corner detection, Jojic’s approach improves the robustness of motion recovery in unknown environments—a critical contribution for autonomous navigation and augmented reality systems. Though his citation count is modest, his work targets a niche but essential problem in sensor fusion and feature selection, influencing subsequent research in RGB-D SLAM. Jojic’s focus on practical, real-time solutions for single-camera systems underscores his commitment to advancing the reliability of visual odometry in resource-constrained settings. For students and researchers exploring the intersection of depth sensors and geometric computer vision, his paper remains a concise, technically grounded reference for improving corner selection in structure-from-motion pipelines.
Research Focus
Key Achievements
Top Papers
- 1