Related publications (33)

Methods of trajectory estimation in challenging mapping scenarios

Aurélien Arnaud Brun

With the aim of improving trajectory estimation and point cloud georeferencing in the scope of Kinematic Laser Scanning (ALS), we recently proposed a novel procedure leveraging the automated extraction of reliable 3D point to point correspondences and thei ...
2023

Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in Endoscopy

Pascal Fua

Endoscopy is the gold standard procedure for early detection and treatment of numerous diseases. Obtaining 3D reconstructions from real endoscopic videos would facilitate the development of assistive tools for practitioners, but it is a challenging problem ...
Springer2023

Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks

Angelos Katharopoulos, Andreas Geiger, Despoina Paschalidou

Impressive progress in 3D shape extraction led to representations that can capture object geometries with high fidelity. In parallel, primitive-based methods seek to represent objects as semantically consistent part arrangements. However, due to the simpli ...
IEEE COMPUTER SOC2021

Nanoscale Pattern Extraction from Relative Positions of Sparse 3D Localizations

Suliana Manley, Christian Sieben

Inferring the organization of fluorescently labeled nanosized structures from single molecule localization microscopy (SMLM) data, typically obscured by stochastic noise and background, remains challenging. To overcome this, we developed a method to extrac ...
AMER CHEMICAL SOC2021

C-blox: A Scalable and Consistent TSDF-based Dense Mapping Approach

Roland Siegwart

In many applications, maintaining a consistent dense map of the environment is key to enabling robotic platforms to perform higher level decision making. Several works have addressed the challenge of creating precise dense 3D maps from visual sensors provi ...
2019

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