Xavier Maurice
Papers
1
Total Citations
25
H-Index
1
About
Xavier Maurice is a leading figure in computer vision and structured light-based 3D reconstruction, whose work has fundamentally advanced the field of single-shot shape capture. His research focuses on overcoming the limitations of traditional structured light systems, particularly for dynamic and unstructured environments where object motion, high surface curvature, or depth-of-field constraints render conventional methods ineffective. Maurice’s seminal 2011 paper, "A pattern framework driven by the Hamming distance for structured light-based reconstruction with a single image," introduced a novel coding strategy that enables robust, real-time 3D acquisition from just one image. This breakthrough, which has garnered 25 citations, is critical for applications in robotic guidance, where rapid and accurate depth perception is essential for navigating unpredictable settings. By leveraging Hamming distance-based pattern design, his work dramatically improves resilience to noise and surface discontinuities, setting a new standard for efficiency in dynamic scene reconstruction. Maurice’s contributions continue to influence modern computer vision, providing a foundational framework for researchers and engineers developing agile, vision-guided autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1