Anders Bjorholm Dahl

Papers

Total Citations

692

H-Index

About

Anders Bjorholm Dahl is a leading figure in computer vision, whose work has fundamentally shaped how researchers evaluate and advance 3D reconstruction and feature detection. His most impactful contribution is the landmark 2014 paper on "Large Scale Multi-view Stereopsis Evaluation," which has amassed over 676 citations. This work addressed critical limitations in earlier benchmarks like Middlebury by introducing more complex, real-world scenes, thereby setting a new standard for testing multi-view stereo algorithms and driving the field forward. Beyond this, Dahl has made key methodological contributions to feature detection, notably developing a novel evaluation framework in his 2010 paper that isolates interest point detector performance from descriptors, supported by a unique dataset of 60 diverse scenes. His research also extends into robotics and material appearance, including innovative work on using robotic arms for measuring BRDFs and ensuring accuracy in robot-generated image datasets. Through these contributions, Dahl has provided the community with essential tools and rigorous evaluation protocols, cementing his role as a foundational influence in modern computer vision research.