Enhancing 3D Scene Reconstruction using NeRFs: our contribution to Low-Cost 3D Workshop

Insightful presentation by Timo Kullmann ISPRS Workshop on Low-Cost 3D in Brescia, Italy.

2024/12/16

Timo Kullmann presented his newest research on Relative Pose Regression for Multi-Camera Setups at the 8th International ISPRS Workshop on Low-Cost 3D – Sensors, Algorithms, Applications. The conference conducted in conjunction with Optical 3D Metrology (O3DM) Workshop was a great platform for exchange with experts on field of 3D measurement techniques.

Picture: Dorota Iwaszczuk

Timo Kullmann presenting his research on Relative Pose Regression for Multi-Sensor Setups with Neural Radiance Fields
Prof. Iwaszczuk chairing the session "DATA Analysis for Features Extraction.

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The study titled “Investigation on Relative Pose Regression for Multi-Sensor Setups with Neural Radiance Fields” presented during the 8th International ISPRS Workshop on Low-Cost 3D – Sensors, Algorithms, Applications, by Timo Kullmann introduces an innovative pose correction model for dual-camera setups, enhancing the accuracy and efficiency of 3D scene reconstruction. This study demonstrates the potential of NeRFs in advancing photogrammetric methods.

For a comprehensive understanding of this research, we invite you to read the full paper here.

Prof. Iwaszczuk also joined the event. She chaired the session on “DATA Analysis for Features Extraction.”

Low-Cost 3D and Optical 3D Metrology are joint event highlighting latest advancements in 3D measurement, accurate modelling from imaging and range sensors as well as low-cost 3D sensing, algorithms, and applications. Congratulations to the organizers for hosting such a successful and impactful event. For more information about event please visit: https://lc3d.fbk.eu