Modules

17 results

Elective Modules Informatics17

3D Scanning & Motion CaptureNo ratings for this module yet.Computer Graphics and Vision (CGV)You 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 semesterIN2354Advanced Deep Learning for Computer Vision: Visual ComputingNo ratings for this module yet.Computer Graphics and Vision (CGV)The module conveys current deep-learning methods for computer vision. You will learn both theoretical foundations of modern neural architectures and practical methods such as generative models (GANs, diffusion models, Large Reconstruction Models) and modern 3D representations (e.g., Neural Radiance Fields, 3D Gaussian Splatting). In the end you will be able to apply, evaluate, and implement state-of-the-art methods in project work.8 ECTSruns this semesterIN2390Computer Vision III: Detektion, Segmentierung und TrackingNo ratings for this module yet.Computer Graphics and Vision (CGV)You 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 Vision (CGV)You 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 Vision (CGV)You 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 semesterIN2015
12 more in Elective Modules InformaticsMachine Learning for 3D GeometryNo ratings for this module yet.Computer Graphics and Vision (CGV)You 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 semesterIN2392Virtuelle Physik: Moderne Modellierungstechnik und ihr Einsatz in der ComputersimulationNo ratings for this module yet.Computer Graphics and Vision (CGV)You 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 Vision (CGV)You 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 semesterIN2026XR: Virtual-, Mixed-, and Augmented RealityNo ratings for this module yet.Computer Graphics and Vision (CGV)You engage with advanced topics in Extended Reality (XR: Virtual, Mixed and Augmented Reality). By the end you will be able to explain the technical and theoretical foundations of these technologies, assess empirical findings, and develop and evaluate applications in a 3D engine (Unity3D).5 ECTSruns this semesterMH4L0042773D User InterfacesNo ratings for this module yet.Computer Graphics and Vision (CGV)You will learn concepts, techniques and devices for three-dimensional human-computer interaction. In the end you will be able to analyze existing 3D interaction concepts in terms of required input/output devices, functionality and usability, and design and implement your own interaction concepts.6 ECTSno date this semesterIN2111Augmented RealityNo ratings for this module yet.Computer Graphics and Vision (CGV)You learn the fundamentals of augmented reality (AR): geometric transformations, projection geometry, representation of 3D information, display and tracking devices, as well as mathematical foundations of optical tracking, sensor fusion, and calibration. In the end you can describe, analyze and extend the mathematical and programming aspects of AR systems for your own solution approaches, and evaluate input/output devices for suitability to application scenarios.6 ECTSno date this semesterIN2018Basic Mathematical Methods for Imaging and VisualizationNo ratings for this module yet.Computer Graphics and Vision (CGV)You 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 semesterIN2124Computer Vision I: Variational MethodsNo ratings for this module yet.Computer Graphics and Vision (CGV)You 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 Vision (CGV)You 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 Vision (CGV)You 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 Vision (CGV)You 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 Vision (CGV)You 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 semesterIN2409
6 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 Vision (CGV)no date this semesterIN995021Anerkennung 1 CGV_THEONo ratings for this module yet.Computer Graphics and Vision (CGV)no date this semesterIN995026Anerkennung 2 aus dem Bereich Computergrafik und -visionNo ratings for this module yet.Computer Graphics and Vision (CGV)no date this semesterIN995022Anerkennung 3 aus dem Bereich Computergrafik und -visionNo ratings for this module yet.Computer Graphics and Vision (CGV)no date this semesterIN995023Anerkennung 4 aus dem Bereich Computergrafik und -visionNo ratings for this module yet.Computer Graphics and Vision (CGV)no date this semesterIN995024Industrielle BildverarbeitungNo ratings for this module yet.Computer Graphics and Vision (CGV)In 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