Papers
2
Total Citations
1,144
H-Index
2
About
Edmond Boyer is a leading figure in computer vision, with his research primarily focused on 3D scene reconstruction, human motion analysis, and action recognition from visual data. His most influential work, the 2010 survey on vision-based methods for action representation, segmentation, and recognition, has garnered over 1,000 citations, serving as a foundational reference for researchers in human activity understanding. Boyer’s major contributions include pioneering the fusion of multiview silhouette cues using a space occupancy grid, a probabilistic 3D representation that significantly advanced the accuracy of shape-from-silhouette techniques. This 2005 paper, with 136 citations, demonstrated how integrating multiple silhouette probability maps could robustly infer 3D occupancy, enabling more reliable reconstruction of dynamic scenes. Beyond this, his work has consistently pushed the boundaries of markerless motion capture and 4D reconstruction, impacting fields from sports analytics to virtual reality. Boyer’s achievements are recognized through his leadership at INRIA and his role in developing open-source tools that empower the research community to build upon his innovative frameworks.
Research Focus
Key Achievements
Top Papers
- 1A survey of vision-based methods for action representation, segmentation and recognition1,008 citations · 2010
- 2Fusion of multiview silhouette cues using a space occupancy grid136 citations · 2005