Found 34 relevant results in 1.71s where lecturer="Markus Gross"
Page 2 of 2
This seminar covers advanced topics in computer graphics and vision, including both seminal research papers as well as the latest research results. Topics include data-driven modeling and animation, image based rendering, real-time vision & graphics, physical simulation and generative models, visual perception, computational photography, video synthesis, and others.
This seminar covers advanced topics in computer vision, such as 3D reconstruction, image understanding, object detection, people tracking, motion prediction, and other related topics. Each time the course is offered, a collection of research papers is selected and each student presents one paper to the class and leads a discussion about the paper and related topics.
This course covers some of the latest developments in geometric modeling and surface representations. Topics include surface modeling based on triangle meshes, mesh generation, subdivision schemes, mesh fairing and simplification, multiresolution methods, and interactive shape editing.
The goal of this course is the in-depth understanding of the technology and programming underlying computer games. Students gradually design and develop a computer game in small groups and get acquainted with the art of game programming.
Introduction to Computer Graphics
Graphische Datenverarbeitung I
Introduction to fundamental methods in computer graphics with a focues on image synthesis and the standard 3D graphics pipeline. Covered topics: Transformations and projections, homogeneous coordinates, color models, light sources, scan conversion, clipping and visibility, local and global shading models, texture mapping, antialiasing
This short course on information theory will introduce fundamental concepts such as entropy, information, sufficiency, typicality, concentration and will present a range of topics from data coding, statistics, inference, decision-making and learning that relate in interesting ways to information theory.
This seminar covers latest research in visual computing with a specific focus on machine learning. Topics include: Bayesian learning, clustering methods, belief propagation, and statistical inference for geometric modeling, computer animation, and visualization and rendering.
This seminar covers latest research in visual computing with a specific focus on machine learning. Topics include: Bayesian learning, clustering methods, belief propagation, and statistical inference for geometric modeling, computer animation, and visualization and rendering.
Physically-based Simulation in Computer Graphics
Physikalisch-basierte Simulation in der Computer Graphik
Introduction to physically-based animation in computer graphics. Wewill give an overview of fundamental methods and algorithms. Thepractical exercises consist of a small group project resulting ina simple interactive 3D game or demo scene.
This lecture provides an introduction into visualization of scientific and abstract data.
This seminar covers advanced topic in digital humans with a focus on the latest research results. Topics include estimating human pose and motion from images, human motion synthesis, learning-based human avatar creation, learning neural implicit representations for humans, modeling, animations, artificial intelligence for digital characters, and others. A collection of research papers is selected.
This seminar introduces students to research and innovation in the area of game technology.
This course acquaints students with core knowledge in computer graphics, image processing, multimedia and computer vision. Topics include: Graphics pipeline, perception and camera models, transformation, shading, global illumination, texturing, sampling, filtering, image representations, image and video compression, edge detection and optical flow.
This course acquaints students with core knowledge in computer graphics, vision and learning. Topics include: Graphics pipeline, perception and camera models, transformation, shading, global illumination, texturing, sampling, filtering, edge detection, Bayes decision theory, classification, support vector machines, dimensionality reduction, clustering, Bayes nets.
Page 2 of 2