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Vray Interior Visualization Course
The Course will cover,
In Modeling:
Customizing the UI using scripts.
Spline modeling in conjunction with some modifiers , including ; tables, the floor lamp, vases, wall clock.
Using V-ray fur for the floor carpet.
Using ATree free script to create flowers and plants.
Using V-ray displacement to create cutouts.
Optimizing V-ray displacement to areas that are seen through the camera for memory optimization.
Using ArchiCAD to model the building and refining in 3Ds Max.
Using some free scripts to place books in bookshelf randomly.
Using Animation tools to scatter objects on our models.
Using graphite modeling tool-set
In Shading:
Using V-ray blend to create complex materials .
Using quick scripts to interactively see the results of complex textures without the need of full rendering.
Using V-ray 2 sided to create translucency for objects.
Creating worn out edges with the use of V-ray displacement and V-ray Dirt.
Optimizing all scene materials to have the best quality n the least rendering time.
Most of the materials in the scene are made of complicated shading networks
In Rendering:
Using V-ray 3.0's new features that will help in rendering this scene faster and modifiable.
make use of all different V-ray lights and how to optimize those and a general lighting solution which will work in many interior scenes.
Rendering many different render passes including masks for all materials, separating lights, reflection, refraction and ....
In compositing:
Layering all our different passes together to achieve a result we want.
Changing the individual lights effect in our scene without the need to re-rendering.
Color correcting many of our elements with ease using the masks that we rendered out.
Adding extra texture to some objects and learn how to blend them nicely with the scene.
The analysis of football teams as networks of individuals.
Connections between players according to the number of passing. position in the field according the to area where each player receives the pass (centroid with weights).
Data source: FIFA World Cup 2010
Data collected, analyzed and visualized with www.quadrigram.com
Golden WestLake
Project information
Location: 151 Thuy Khue Street, Tay Ho, Hanoi
Type: Apartments
Investor : Flamingo Hong Hac Dailai Resort JSC
Total area: 2ha
Building start date: 31/12/2005
Building finish date: 31/12/2007
Product by E5:
- Ariel visualization.
- Exterior visualizations
- Interior visualizations
- 5 minutes introducing film.
The 3D project completed in november 2007.
A visualization of perlin noise where the size and color of each block is dependent upon the value of the perlin noise at each x,y position.
Neat Visualization mode for Boom Boom Rocket. You can play your own songs and it'll set the fireworks off to it. Pretty neat.
That's the final image of the hexel chart (showing casualties in Iraq) running on the LED screen. (Looks much better and alive when experienced live)
www.chriscoldewey.com/wp-content/uploads/2009/02/nexus1.jpg
Social network visualization February 25, 2009 – 1:08 am nexus.jpg Facebook social network visualization from Nexus. Hat tip to SM By Chris Coldewey | Posted in Pursuits | Tagged facebook, information visualization |
Fusion TIFF File
U – Silk City
Project information
Location: Le Van Luong Road, Van Khe Ward, Ha Dong district, Hanoi
Type: Residential Building
Investor: Song Da – Thang Long Joint Stock Company
Total area: 9.2 hectares
Total investment: 10,000 billion VND
Building start date: November 2008
Building finish date: December 2013
Product by E5:
- Ariel visualization.
- Interior visualization.
- 3D Floor Plan
- Brand Identity Package.
- Catalog
- Signage Design for Model House
The 3D project completed in June 2010.
The Physical Visualization consists of layered 2D plots, in which the x axis represents energy sources, the y axis countries and the z axis (layers) time. Each data case is represented by an engraved circle in the respective acrylic glass layer.
From Isotype Revisited project (http://www.isotyperevisited.org) at the University of Reading. Reproduced with permission.
You might be familiar with Buza's amazing twitter visualizations from a few months ago. He recently invited me to test a system he has been putting together to let anyone generate the same kind of images based on their own web data.
The system works as follows: First, the user crawls the web and prepares some data ahead of time (images, graph structures, etc). Using a python script, the user feeds the data to an OpenGL context that is running an instance of the Bullet physics engine. Live interaction with the visualized data can happen there in a manner similar to E15,. When a desired view is produced or found, the system can generate a Sunflow scene file, that can be later used to render an image similar to the one featured here.
I haven't done much, just grabbed some data I harvested a while ago from openstudio and the tiny icon factory, and threw it in there to see how it looks. I hope to help Buza tweak some bugs and reach some design decisions while experimenting with Sunflow and rendering some coolness in the process.
- Camera phone upload powered by ShoZu
See also: www.depthq.com/, www.fractaltechnologies.com/ and
Uploaded with plasq's Skitch. I'd forgotten about newsmap, and was reminded of it's existence when I stumbled on the Periodic Table of Visualization Methods (http://www.visual-literacy.org/periodic_table/periodic_table.html). Always interesting to look at alternatives to raw text-based lists of headlines.