Modules

21 results

Cross-Cutting Elective Modules21

3D Scanning & Motion CaptureNo ratings for this module yet.Computer Graphics and VisionYou learn methods for 3D capture and motion capture with a focus on RGB-D sensors and algorithmic fundamentals. In the end you can capture data with consumer RGB-D scanners, understand rigid and non-rigid 3D reconstructions, pose and face tracking, as well as suitable optimization methods, and you can practically implement selected approaches.6 ECTSruns this semesterIN2354Computer Vision III: Detektion, Segmentierung und TrackingNo ratings for this module yet.Computer Graphics and VisionYou will learn modern methods for object recognition, segmentation and tracking in images and videos. In the end you will understand the underlying deep-learning concepts and be able to work on real computer-vision problems with state-of-the-art models in PyTorch.6 ECTSruns this semesterIN2375Game PhysicsNo ratings for this module yet.Computer Graphics and VisionYou will learn fundamental concepts and methods for physical simulation, such as animation techniques, rigid body simulation, collision handling, particle systems, as well as fundamentals of elasticity and fluid simulation. In the end you will be able to select appropriate physical models, perform the corresponding calculations, and implement simulation algorithms for integration into real-time systems — including implementation in C++.6 ECTSruns this semesterIN0037Image SynthesisNo ratings for this module yet.Computer Graphics and VisionYou learn modern techniques of image synthesis from the programmable graphics pipeline through shader and multi-pass methods to local and global illumination models. In the end you will be able to classify different rendering methods, evaluate existing image synthesis tools, and create renderings for given models and scenes yourself.5 ECTSruns this semesterIN2015Machine Learning for 3D GeometryNo ratings for this module yet.Computer Graphics and VisionYou will learn theoretical foundations and modern machine‑learning methods for 3D geometric data. The module covers representations of shapes and scenes as well as deep‑learning architectures for discriminative and generative tasks such as classification, segmentation, reconstruction and synthesis. In the end you will be able to understand and practically apply common approaches to point clouds, volumetric data, multi‑view inputs and graphs.6 ECTSruns this semesterIN2392
16 more in Cross-Cutting Elective ModulesVirtuelle Physik: Moderne Modellierungstechnik und ihr Einsatz in der ComputersimulationNo ratings for this module yet.Computer Graphics and VisionYou learn how physical systems are modeled equation-based with modern, object-oriented languages such as Modelica, and how these models are used in computer simulations. In the end you will be able to model electrical and mechanical systems, build model libraries, and select suitable time integration methods for simulations.4 ECTSruns this semesterIN2236Visual Data AnalyticsNo ratings for this module yet.Computer Graphics and VisionYou will learn the entire visualization pipeline — from data acquisition and preprocessing over interpolation and filtering to presentation. You understand methods of information and scientific visualization for 2D/3D scalar and vector fields as well as terrain rendering and can evaluate and apply suitable techniques.5 ECTSruns this semesterIN2026Advanced Deep Learning for Computer Vision: Dynamic VisionNo ratings for this module yet.Computer Graphics and VisionYou will learn advanced deep-learning methods with a clear focus on video analysis for computer-vision tasks. Beyond the theoretical foundations, you will train and implement neural networks yourself and work on a semester-long project on current research topics of the group.8 ECTSno date this semesterIN2389Analysis of Three-Dimensional ShapesNo ratings for this module yet.Computer Graphics and VisionYou will learn methods for the representation, analysis, and comparison of three-dimensional shapes. The module covers both the underlying mathematics (e.g., differential geometry, spectral and conformal methods) and practical implementation aspects, so that you can understand and implement procedures for analyzing and comparing 3D shapes.8 ECTSno date this semesterIN2238Ausgewählte Themen aus dem Bereich Computergrafik und -visionNo ratings for this module yet.Computer Graphics and VisionIn this module selected current topics from computer graphics and image understanding are presented. You will learn the state of research and technology in these areas and can engage with current research projects.5 ECTSno date this semesterIN3200Basic Mathematical Methods for Imaging and VisualizationNo ratings for this module yet.Computer Graphics and VisionYou learn fundamental mathematical methods that are applied in imaging and visualization, and you can subsequently use them to formulate, analyze and solve concrete problems. Topics include, among others, linear algebra, analysis, optimization and probability theory and their applications in image processing and computer vision. In the end you will be able to select appropriate methods, optimize them and transfer them to related engineering disciplines.5 ECTSno date this semesterIN2124Bildverstehen II: Robot VisionNo ratings for this module yet.Computer Graphics and VisionYou learn practice-relevant methods and algorithms of robot vision and machine vision. The lecture explains fundamentals, data structures and implementation aspects of central procedures and shows typical applications, so that you can analyze, evaluate and develop practical applications for image processing tasks.4 ECTSno date this semesterIN2016Computer Vision I: Variational MethodsNo ratings for this module yet.Computer Graphics and VisionYou learn how many tasks of image processing (e.g. denoising, desmearing, segmentation, optical flow, stereo depth estimation, 3D reconstruction) are formulated and solved as variational problems. In the end you know the Euler–Lagrange approach and PDEs, efficient solution methods as well as convex formulations and relaxations and you can implement central concepts in Matlab.8 ECTSno date this semesterIN2246Computer Vision II: Multiple View Geometry (3D Computer Vision)No ratings for this module yet.Computer Graphics and VisionYou will learn the mathematical foundations of multiple-view geometry in order to reconstruct camera motion and 3D geometry from several images. In the end you will understand image formation, epipolar geometry, camera calibration, rank conditions and bundle adjustment and you will be able to implement central algorithms in Matlab.8 ECTSno date this semesterIN2228Geometry ProcessingNo ratings for this module yet.Computer Graphics and VisionYou will learn mathematical foundations and practical representations of curves and surfaces, as well as methods for modeling, analysis, and presentation of geometric shapes. In the end you can assess various representations (parametric, implicit, splines, subdivision, CSG, voxel, neural), reconstruction from point sets, and level-of-detail strategies, and independently develop and implement suitable approaches.6 ECTSno date this semesterIN2297Grundlagen von Computer VisionNo ratings for this module yet.Computer Graphics and VisionYou will learn how images are formed and how to process image information for measurement and control tasks. The module covers surface properties, camera models and lenses as well as basic image processing and 3D reconstruction methods (stereo, shape from shading, structure-from-motion). In the end you will be able to calibrate camera systems and assess and apply methods for 3D reconstruction and image processing for robotic applications.4 ECTSno date this semesterIN2133Inverse Problems in Medical ImagingNo ratings for this module yet.Computer Graphics and VisionYou will learn mathematical tools and solution strategies for inverse problems in medical imaging. In the end you will be able to theoretically analyze inverse problems, design experimentally and implement practically, as well as assess algorithms for reconstruction and regularization.5 ECTSno date this semesterIN2409Konvexe Optimierung für Computer VisionNo ratings for this module yet.Computer Graphics and VisionYou will learn the fundamentals of convex analysis and their application to optimization problems in image processing and computer vision. After the module you will be able to understand, apply and implement common first-order and proximal methods for typical CV tasks (e.g., image reconstruction, segmentation, matrix factorization).6 ECTSno date this semesterIN2330Numerische Algorithmen für Computer Vision und Maschinelles LernenNo ratings for this module yet.Computer Graphics and VisionYou learn numerical methods that are frequently used in computer vision and machine learning, including modeling of practical problems. In the end you will be able to implement basic algorithms, assess their strengths and weaknesses, and choose appropriate methods for solving concrete CV-/ML tasks.5 ECTSno date this semesterIN2384Probabilistische Graphische Modelle in der Computer VisionNo ratings for this module yet.Computer Graphics and VisionYou learn how probabilistic graphical models (directed and undirected) are used to model and solve typical computer vision problems. At the end you can understand MRF/CRF models, select appropriate inference and learning methods, and apply them to tasks such as segmentation, pose estimation, stereo or object recognition.5 ECTSno date this semesterIN2329Tracking and Detection in Computer VisionNo ratings for this module yet.Computer Graphics and VisionYou will learn modern methods of object detection and tracking in images and videos. In the end you will be able to understand, implement, and apply central detection and tracking algorithms to more complex practical problems.7 ECTSno date this semesterIN2210
4 more modules match, but they are taught in German. Show themAnerkennung 1 aus dem Bereich Computergrafik und -visionNo ratings for this module yet.Computer Graphics and Visionno date this semesterIN99505Anerkennung 2 aus dem Bereich Computergrafik und -visionNo ratings for this module yet.Computer Graphics and Visionno date this semesterIN99506Bildverstehen I: Methoden der industriellen BildverarbeitungNo ratings for this module yet.Computer Graphics and VisionDu lernst praxisrelevante Methoden und Algorithmen der industriellen Bildverarbeitung kennen. Im Modul werden Verfahren zur Lageerkennung, Form- und Maßprüfung sowie Objekterkennung behandelt. Am Ende kannst du Bildverarbeitungsaufgaben analysieren, bewerten und mit geeigneter Hardware und Algorithmen umsetzen.3 ECTSno date this semesterIN2023Industrielle BildverarbeitungNo ratings for this module yet.Computer Graphics and VisionIn dem Modul lernst Du praxisrelevante Methoden und Algorithmen der industriellen Bildverarbeitung kennen. Du verstehst die typischen Einsatzgebiete (z. B. Lageerkennung, Form- und Maßprüfung, Beschriftungs- und Objekterkennung) und kannst Bildverarbeitungsaufgaben analysieren, bewerten und Lösungen entwickeln.6 ECTSruns this semesterIN2369