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
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
Head-mounted displays (HMDs) fundamentally limit emotion recognition in virtual reality (VR): by occluding the upper face, they render conventional image-based facial expression analysis incomplete, particularly for applications requiring real-time affective assessment. We address this challenge by fusing lower-face vi...
Birgit Nierula, Karam Tomotaki-Dawoud, M. Akguel et al.· 1 citation
Qualitative evaluations on heterogeneous medical spectral acquisition systems demonstrate the practical relevance of the proposed training data augmentation protocol as an enabler for spatially coherent spectral fusion in HSI workflows.
E. Wisotzky, Jost Triller, Simon W. Härtl et al.· 0 citations
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