Papers
3
Total Citations
14
H-Index
2
About
J.Y. Fourniols is a researcher specializing in real-time stereovision systems and their integration into medical and robotic applications. His major contributions lie in developing passive stereovision algorithms for 3D visualization, particularly for laparoscopic surgical manipulations, where his 2006 work introduced a stereo laparoscope providing quantitative 3D information—a significant advance over qualitative systems. This paper, with 8 citations, demonstrates early impact in surgical vision. Fourniols also advanced obstacle detection for mobile robots, designing an integrated visual subsystem using a belt of micro-cameras for dynamic environments like public spaces (2009, 4 citations). His 2007 work on real-time stereovision via an integrated sensor further underscores his focus on compact, efficient vision systems. Though his citation counts are modest, Fourniols’ research bridges medical and robotic domains, emphasizing practical, embedded solutions for real-time depth perception. His work is notable for addressing the challenge of translating stereovision from qualitative to quantitative analysis, a key step for precise surgical and navigational tasks.
Research Focus
Key Achievements
Top Papers
- 1
- 2Integrated subsystem for Obstacle detection from a belt of micro-cameras4 citations · 2009
- 3REAL-TIME STEREOVISION BY AN INTEGRATED SENSOR2 citations · 2007