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A. Hilsmann

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Open access Oct 2026

Accuracy of Stereo Endoscope Calibrations for Forward and Oblique Optics

Abstract Accurate geometric calibration is a prerequisite for metric 3D reconstruction from stereo endoscopes, but practical deployment is complicated by non-standard optics (e.g., angled views), strong lens distortion, and clinically realistic image artifacts such as specularities and low texture. We present and evalu...

Linus L. Kienle, Sophie Beckmann, Niklas Freund et al. · 0 citations
#machine learning Preprint Aug 2026

RIPE++: Reinforced Keypoint Learning from Positive Pairs Only

Sparse keypoint extraction and matching underpin core tasks in geometric computer vision, including structure-from-motion, visual SLAM, augmented reality, and medical image registration. Learning robust local feature representations, however, typically requires accurate camera poses or depth supervision, which are ofte...

Johannes Künzel, Peter Eisert, A. Hilsmann · 0 citations
Preprint Open access Aug 2026

KISS-GS: 3D Gaussian Splatting Compression Kept Simple

Scene reconstruction with 3D Gaussian Splatting (3DGS) has become common, however deployment remains painful as the uncompressed file sizes can be massive. Current 3DGS compression systems combine multiple strategies for file size reduction, which can obscure where gains come from and limit component reuse across train...

W. Morgenstern, Friedrich Elias Branschke, F. Fleischmann et al. · 0 citations
#computer vision Preprint Sep 2026

Occlusion-Robust Multimodal Emotion Recognition in VR via Fusion of Facial Images and EMG

This work fusing lower-face video with facial electromyography from the occluded upper face to classify seven emotional categories, demonstrating that upper-face EMG provides robust complementary information under HMD-induced visual occlusion and establishing a foundation for multimodal emotion recognition in naturalis...

Birgit Nierula, Karam Tomotaki-Dawoud, M. Akguel et al. · 1 citation

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