Rasmus Ramsbøl Jensen

Papers

Total Citations

676

H-Index

About

Rasmus Ramsbøl Jensen is a leading figure in computer vision, best known for his foundational work on large-scale multi-view stereopsis (MVS) evaluation. His most-cited paper, the 2014 "Large Scale Multi-view Stereopsis Evaluation" (676 citations), addresses the critical limitations of earlier benchmarks like Middlebury and Strecha by introducing far more extensive and diverse reference scenes. This contribution has become a standard for assessing and advancing MVS algorithms, significantly shaping the field’s progress. Jensen’s research focuses on developing robust evaluation frameworks and methodologies for 3D reconstruction from images, enabling more accurate and scalable scene understanding. His work has had a profound impact, providing the community with essential tools to benchmark performance and drive innovation in areas such as autonomous navigation, augmented reality, and cultural heritage preservation. By systematically expanding the scope and realism of evaluation datasets, Jensen has helped move multi-view stereopsis from controlled lab settings toward real-world applications, cementing his legacy as a key contributor to the rigorous empirical foundations of modern computer vision.