Papers
6
Total Citations
88
H-Index
4
About
Jean Triboulet’s research career has been defined by pioneering work at the intersection of computer vision, medical imaging, and robotics. His primary contributions center on three-dimensional motion estimation and stereoscopic vision systems, with a particular focus on real-time tracking in challenging environments. Triboulet’s most impactful work involves developing endoscopic monocular vision systems for heart motion estimation, where he advanced techniques from artificial landmark tracking to sophisticated texture analysis. His 2007 paper on this topic, which has accumulated 32 citations, demonstrates his ability to translate complex computer vision problems into practical medical applications. In the domain of stereoscopic vision, Triboulet showed that robust matching algorithms could overcome the limitations of low-cost cameras, making 3D perception more accessible for robotics. His work on multi-configuration stereoscopic systems for mobile robot localization, though less cited, laid groundwork for assistive technologies designed to help disabled individuals navigate indoor environments. Triboulet’s research consistently addresses the challenge of achieving high robustness in real-time motion tracking, a fundamental problem in computer vision that spans from medical endoscopy to autonomous robotics. His contributions remain relevant for researchers working on texture-based tracking and low-cost stereoscopic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Efficient Tracking of the Heart Using Texture22 citations · 2007
- 33D HEART MOTION ESTIMATION USING ENDOSCOPIC MONOCULAR VISION SYSTEM16 citations · 2006
- 4Matching segments in stereoscopic vision14 citations · 2001
- 5
- 6How to Choose the Best Color Space for the Guidance of an Indoor Robot?2 citations · 2002