Linus Härenstam-Nielsen

I am a PhD student at the Computer Vision Group supervised by Prof. Daniel Cremers at the Technical University of Munich.

Before the PhD, I obtained a M.Sc. degree in Systems control and Robotics from KTH, Royal Institute of Technology (Stockholm, Sweden). I also spent roughly 3 years as a computer vision engineer at Univrses working on visual odometry and deep learning for autonomous driving.

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Research

I work on 3D reconstruction from noisy and incomplete sensor data. Using a mix of optimization-based and learning-based methods.

We improve the robustness of surface reconstruction methods by optimizing a symmetric differentiable Chamfer distance for implicit surfaces.

We develop a certifiably optimal method for triangulating noisy observations with outliers.

We develop a globally optimal solution to the noisy hand-eye calibration problem, using a dual quaternion formulation.