Niclas Borlin

Niclas Borlin is an Associate Professor at the Department of Computing Science, Umeå University. His research specializes in photogrammetry, bundle adjustment algorithms, and 3D measurement techniques, with applications spanning computer vision, remote sensing, and geospatial analysis. He maintains an active role in academic research with no indications of retirement or part-time status.

Research Focus: Borlin's work centers on developing computational methods for photogrammetric data processing. Key areas include:

• Bundle adjustment optimization and modular algorithm design
• Terrestrial and UAV-based photogrammetry for environmental/architectural documentation
• Laser scanning calibration and error quantification
• Medical imaging techniques for orthopedic applications

Awards:

• Talbert Abrams Award (2020) for contributions to photogrammetry

His publications demonstrate consistent focus on improving accuracy in 3D measurements through computational innovations, with recent work emphasizing open-source tools like the Damped Bundle Adjustment Toolbox (DBAT).