General information

Organization

Lecturers:: Th. Ertl, Stuttgart
G. Greiner, Erlangen
Guest lecturer:: R. Westermann, München

Tutor:: Marco Winter, Erlangen
Participants:: ca. 14 students after pre-degree (”Vordiplom”)
branch of study may be computer science, math, computational engineering (CE)

Introduction

The research field of visual computing deals with all aspects of image acquisition, processing and analysis of image data and image synthesis based on available scene information. Here, the notion of an “image” describes a roomy area as it comprises volume data as well as animated (video) sequences. Furthermore, additional modalities, like ultrasound, infrared, x-ray, etc., are also considered.

The fields of computer graphics, computer vision and visualization form the center of visual computing. In this course, we deal with a variety of aspects related to these fields. Some of these related topics are:

Images, color spaces, filtering, color tables, segmentation
Human perception of images as well as storage and processing using computers.
http://de.wikipedia.org/wiki/Farbenlehre
http://de.wikipedia.org/wiki/Kategorie:Farbsystem
Registration
Fusion of multiple datasets in a common reference system. This may also include multimodal data.
Scene reconstruction
Scene acquisition using 3-D capturing techniques and reconstruction of the (possibly dynamic) scene.
Image-based rendering
Depiction of scenes by using image data and extracted scene information.
http://en.wikipedia.org/wiki/Image-based_modeling_and_rendering
Modeling (Vertices, Triangles, Strips, Meshes, …)
Modeling of scenes using curves and surfaces as well as their visualization using basic techniques of computer graphics.
http://www.opengl.org
Transformation, viewing, lighting, raster graphics, fragment processing, shading & texturing
The well-known rendering pipeline. First, vertices are transformed and lit, afterwards the transformed triangles are rasterized into fragments and processed further.
http://de.wikipedia.org/wiki/Rendering-Pipeline
Graphics hardware & shader
Workflow and programming of modern graphics hardware.
http://developer.3dlabs.com/openGL2/index.htm
Visualization of datasets
How does (scientific) visualization work? How can data of different application fields be categorized? How can they be saved and processed?
http://en.wikipedia.org/wiki/Scientific_visualization
http://www.vis.uni-stuttgart.de/plain/vdl/vdl_show_lect_load.php?id=153
Indirect volume visualization (isosurfaces, marching cubes, marching tetrahedron, …)
Algorithms for visualizing volume data (e.g. from CT or ultrasound) using indirect methods which extract specific data from volumes.
http://www.vis.uni-stuttgart.de/plain/vdl/vdl_show_lect_load.php?id=153
http://en.wikipedia.org/wiki/Marching_cubes
Direct volume visualization
In contrast to indirect visualization, here data is visualized immediately using 3-D texture hardware.
http://en.wikipedia.org/wiki/Volume_rendering
Toolkits for visualization
What tools and frameworks can be used to do scientific visualization? How can these be used reasonable and efficiently?
http://www.coin3d.org
http://www.vtk.org
Terrain Rendering
Efficient as well as realistic visualization of surface information.
http://www.vterrain.org
Fluid visualization
This means the processing of vector fields for analysis. This includes visualization methods like stream lines, glyphs or LIC, as well as preprocessing the data, e.g. for detection of turbulences.
http://www.informatik.uni-leipzig.de/bsv/Forschung/Stroemungsdynamik
http://www.vis.uni-stuttgart.de/texflowvis
Virtual Reality
The generation of virtual reality involves interactive and realistic visualization of the environment as well as interaction interfaces with the user.
http://vroot.org
http://en.wikipedia.org/wiki/Virtual_reality

Course topics (preliminary)

Dynamic Geometry Registration (website)
Toolkit comparison: VTK (website) / Coin3D (website)
Topic: Surface lightfields (website1, website2)
GrabCut (website)
A Transparently Scalable Visualization Architecture for Exploring the Universe (website)
Photometric Stereo via Computer Screen Lighting for Real-Time Surface Reconstruction (paper)
Sketch-based Modeling with Few Strokes (website)
Texture Synthesis (website)
Discrete Willmore Flow (paper)
Non-Rigid Registration Under Isometric Deformations (paper)
ABF++ : Fast and Robust Angle Based Flattening (website)
General purpose programming of GPUs: CUDA / CTM / AMD Stream (website1, website2, website3)
Interactive Multires Volume Rendering of Large Data Sets
Particle-based fluid simulation (with focus on rendering techniques)
Interactive Visual Exploration of 3D vector fields
Physics-based meshing


General information	Dept. of Computer Science > Computer Science 9 > Projects > Ferienakademie 2008: Visual Computing > General information General information Organization Lecturers: Th. Ertl, Stuttgart G. Greiner, Erlangen Guest lecturer: R. Westermann, München Tutor: Marco Winter, Erlangen Participants: ca. 14 students after pre-degree (”Vordiplom”) branch of study may be computer science, math, computational engineering (CE) Introduction The research field of visual computing deals with all aspects of image acquisition, processing and analysis of image data and image synthesis based on available scene information. Here, the notion of an “image” describes a roomy area as it comprises volume data as well as animated (video) sequences. Furthermore, additional modalities, like ultrasound, infrared, x-ray, etc., are also considered. The fields of computer graphics, computer vision and visualization form the center of visual computing. In this course, we deal with a variety of aspects related to these fields. Some of these related topics are: Images, color spaces, filtering, color tables, segmentation Human perception of images as well as storage and processing using computers. http://de.wikipedia.org/wiki/Farbenlehre http://de.wikipedia.org/wiki/Kategorie:Farbsystem Registration Fusion of multiple datasets in a common reference system. This may also include multimodal data. Scene reconstruction Scene acquisition using 3-D capturing techniques and reconstruction of the (possibly dynamic) scene. Image-based rendering Depiction of scenes by using image data and extracted scene information. http://en.wikipedia.org/wiki/Image-based_modeling_and_rendering Modeling (Vertices, Triangles, Strips, Meshes, …) Modeling of scenes using curves and surfaces as well as their visualization using basic techniques of computer graphics. http://www.opengl.org Transformation, viewing, lighting, raster graphics, fragment processing, shading & texturing The well-known rendering pipeline. First, vertices are transformed and lit, afterwards the transformed triangles are rasterized into fragments and processed further. http://de.wikipedia.org/wiki/Rendering-Pipeline Graphics hardware & shader Workflow and programming of modern graphics hardware. http://developer.3dlabs.com/openGL2/index.htm Visualization of datasets How does (scientific) visualization work? How can data of different application fields be categorized? How can they be saved and processed? http://en.wikipedia.org/wiki/Scientific_visualization http://www.vis.uni-stuttgart.de/plain/vdl/vdl_show_lect_load.php?id=153 Indirect volume visualization (isosurfaces, marching cubes, marching tetrahedron, …) Algorithms for visualizing volume data (e.g. from CT or ultrasound) using indirect methods which extract specific data from volumes. http://www.vis.uni-stuttgart.de/plain/vdl/vdl_show_lect_load.php?id=153 http://en.wikipedia.org/wiki/Marching_cubes Direct volume visualization In contrast to indirect visualization, here data is visualized immediately using 3-D texture hardware. http://en.wikipedia.org/wiki/Volume_rendering Toolkits for visualization What tools and frameworks can be used to do scientific visualization? How can these be used reasonable and efficiently? http://www.coin3d.org http://www.vtk.org Terrain Rendering Efficient as well as realistic visualization of surface information. http://www.vterrain.org Fluid visualization This means the processing of vector fields for analysis. This includes visualization methods like stream lines, glyphs or LIC, as well as preprocessing the data, e.g. for detection of turbulences. http://www.informatik.uni-leipzig.de/bsv/Forschung/Stroemungsdynamik http://www.vis.uni-stuttgart.de/texflowvis Virtual Reality The generation of virtual reality involves interactive and realistic visualization of the environment as well as interaction interfaces with the user. http://vroot.org http://en.wikipedia.org/wiki/Virtual_reality Course topics (preliminary) Dynamic Geometry Registration (website) Toolkit comparison: VTK (website) / Coin3D (website) Topic: Surface lightfields (website1, website2) GrabCut (website) A Transparently Scalable Visualization Architecture for Exploring the Universe (website) Photometric Stereo via Computer Screen Lighting for Real-Time Surface Reconstruction (paper) Sketch-based Modeling with Few Strokes (website) Texture Synthesis (website) Discrete Willmore Flow (paper) Non-Rigid Registration Under Isometric Deformations (paper) ABF++ : Fast and Robust Angle Based Flattening (website) General purpose programming of GPUs: CUDA / CTM / AMD Stream (website1, website2, website3) Interactive Multires Volume Rendering of Large Data Sets Particle-based fluid simulation (with focus on rendering techniques) Interactive Visual Exploration of 3D vector fields Physics-based meshing
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