Andreas L. Teigen

Norwegian University of Science and Technology

Papers

Total Citations

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About

Andreas L. Teigen is a researcher advancing the frontiers of 3D computer vision and novel view synthesis. His work centers on bridging neural radiance fields with practical, real-world applications in mapping and tracking. Teigen’s most notable contribution, "RGB-D Mapping and Tracking in a Plenoxel Radiance Field" (2024), tackles a critical challenge: integrating dense RGB-D sensor data with the powerful, photorealistic scene representations offered by Neural Radiance Fields (NeRFs). This work demonstrates how to achieve robust, simultaneous localization and dense mapping within a Plenoxel-based radiance field, moving beyond static scene capture toward dynamic, interactive 3D modeling. While his citation count is still growing—reflecting the recency of his impactful research—this paper has already garnered 7 citations, signaling its importance to the community. Teigen’s research is particularly significant for robotics, augmented reality, and autonomous navigation, where real-time, high-fidelity 3D understanding is essential. By enabling efficient tracking and mapping within a neural representation, he is helping to make photorealistic 3D models not just a rendering novelty, but a practical tool for perception and interaction.