Senior Associate Professor
My research interests are in visual perception and perceptual learning for robots. Current work includes uncertainty representation, vision for action, and continuous-time modelling of 3D motion.
Computer Vision – ECCV 2016 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part IV
, s.170-185
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International Journal of Computer Vision
, Vol.96
, s.335-352
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Carl Hoffstedt, Per-Erik Forssén, Anton Wiberg, 
Semantic annotation of 3D point clouds via label transfer from BIM models for AEC applications, Results in Engineering (RINENG) 30:110796 (2026) 
https://doi.org/10.1016/j.rineng.2026.110796
Johannes Hägerlind, Bao-Long Tran, Urs Nathanael Waldmann, Per-Erik Forssén, Robust Multi-view Self-Calibration from Dense Matches, Proceedings of the 21st International Conference on Computer Vision Theory and Applications, Antonino Furnari, Petia Radeva (eds.), VISIGRAPP, pp. 307-318, Setúbal, Portugal (2026) https://doi.org/10.5220/0014253000004084 
https://arxiv.org/pdf/2512.15608
Johannes Hägerlind, Bao-Long Tran, Urs Waldmann, Per-Erik Forssén, Robust Multi-view Camera Calibration from Dense Matches (2025) https://arxiv.org/abs/2512.15608
Ludvig Dillen, Per-Erik Forssén, Johan Edstedt, FACT: Multinomial Misalignment Classification for Point Cloud Registration, IMAGE ANALYSIS, SCIA 2025, PT I, Lecture Notes in Computer Science, pp. 324-337, SPRINGER INTERNATIONAL PUBLISHING AG (2025) https://doi.org/10.1007/978-3-031-95911-0_23
Ludvig Dillén, Per-Erik Forssén, Johan Edstedt, FACT: Multinomial Misalignment Classification for Point Cloud Registration (2025) https://arxiv.org/abs/2504.06627
