Patrice Delmas
Papers
2
Total Citations
5
H-Index
2
About
Dr. Patrice Delmas is a leading researcher in computer vision and 3D imaging, with a primary focus on unconstrained image-based modeling and its biomedical applications. His most cited work, "High resolution 3D content creation using unconstrained and uncalibrated cameras" (2013, 3 citations), addresses a critical challenge in the field: generating high-quality 3D content from ordinary, uncalibrated cameras without expensive equipment or specialized sensors. This contribution has helped democratize 3D reconstruction, making it more accessible for a wide range of applications. In the medical domain, Delmas has made significant strides with his work on "3D pose estimation of femur fracture segments for vision guided robotic orthopaedic surgery" (2009, 2 citations). This research pioneers the use of 3D intra-operative image guidance by registering pre-operative anatomical data with real-time surgical views, enabling more precise and minimally invasive orthopedic procedures. His work bridges the gap between computer vision and surgical robotics, demonstrating how unconstrained imaging techniques can directly impact patient care. Delmas’s research continues to push the boundaries of accessible 3D technology, with implications for everything from virtual reality to advanced surgical navigation systems.
Research Focus
Key Achievements
Top Papers
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- 2