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Please find all information here: https://hci.iwr.uni-heidelberg.de/content/computer-vision *** Formalities: Teaching assistants (main point of contact): Friedrich Feiden: johann-friedrich.feiden@iwr.uni-heidelberg.de Registration: Moodle: https://moodle.uni-heidelberg.de/course/view.php?id=31521 Prerequisite: no prerequisites, but it is recommended to have Machine Learning Background, e.g. Fundamentals of Machine Learning or equivalent Exam: Written exam Leistungspunkte: 6 LP Usability: Physics, MSc., Angewandte Informatik, MSc. Scientific Computing
Prerequisites
No prerequisites, but it is recommended to have Machine Learning Background, e.g. Fundamentals of Machine Learning or equivalent
Goal
Lernziele (erwartete Lernergebnisse und erworbene Kompetenzen): - Brief Introduction to necessary Machine Learning (incl. U-Net, ResNet, Vision Transformers) - Basic Image Processing (incl. linear/non-linear Filtering) - Sparse feature Detection and Description (incl. SIFT and LIFT) - Projective Geometry, Epipolar Geometry - Sparse 3D Reconstruction , SLAM and Camera Localization - Neural Randiance Fields (NERF) - Robust Matching (incl. Differentiable RANSAC) - Object Tracking (incl. Particle Filter, Kalman Filter, ) - Object Recognition - Image Generation (incl. GAN, Diffusion, VAE, Flows) - Training Data Generation
Registration Information
Für die Anmeldung zur Teilnahme müssen Sie sich in heiCO als Studierende*r identifizieren. Anmerkung: You have to be registered in HeiCo and Moodle Moodle enrollment key: ComVis24 Course Capacity: 40 (First Come First Served)
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