Archive for the ‘Scientific Visualization’ Category

News About The Emotiv Insight

Wednesday, September 4th, 2013

It seems like the Emotiv company is preparing to develop and release a new EEG neuroheadset called the Emotiv Insight. While it will have fewer sensors than the Emotiv EPOC or Emotiv EEG, it will be easier to deploy and more user friendly, with what seems to be a powerful framework. Can’t wait to get my hands on one! 🙂

In the mean time, here is a video overview of the Emotiv Insight.

Oh, and before I forget, Emotiv also requires your support to develop this new product. For this purpose, they opened a Kickstarter project. As the Kickstarter is still running for a couple of days, you might want to consider chipping in so that this new EEG headset has a better chance to see the light of day.

Visualizing Categories And Human Brain Activity

Sunday, January 6th, 2013

I think the following video is more than self-explanatory. And I find that the idea of trying to establish a correlation between the various objects or actions detected visually and the activated brain regions is an important step towards the final, still distant goal: decoding the brain.

Welcome To Space. Now Explore!

Thursday, June 28th, 2012

Explore the depths of space with this 3D interactive space visualization tool. Really neat!

I Like It When Proceedings Are Organized Nicely

Tuesday, February 28th, 2012

Here’s a good example for it from the EuroVis conference. This is how I’d like to find all the proceedings for any conference.

Awesome Scientific Simulations

Wednesday, August 10th, 2011

Wired.com recently published this collection of 10 very impressive scientific simulations and visualizations.

My favorite is number 10, with the wind turbines. 🙂

Medical Data Visualization

Tuesday, January 25th, 2011

MRI, CT scans, PET scans… all enable the exploration of the human body without invasive (or at least without highly invasive) procedures. Awesome!

I find the idea of virtual autopsies the most intriguing.

And here’s the same presentation at a different venue.

Steps Towards A Great Visualization

Sunday, April 25th, 2010

This is a nice representation of the steps one generally has to take in order to create an appropriate visualization methods. There is also additional information about each term of the steps here. Look into it if you are thinking about designing a visualization.

Jaw-Dropping Life

Friday, April 16th, 2010

Here’s a short animation of the insides of a human cell:

Ok, and if I’m at this topic anyway, there are some extremely informative videos about proteins too.

Life is seriously impressive!

Also, going a bit back in time shows you the major importance of visualization in science today.

Today’s Top 10 Visualization Problems

Wednesday, March 18th, 2009

I’ve recently found a little list of the top 10 visualization problems that we face today and probably will face for a while. The list was presented in 1999 by Bill Hibbard from Space Science and Engineering Center, University of Wisconsin – Madison at SIGGRAPH’99.

I can only mention that I agree with all the presented issues, and I most say I underestimated the importance of a couple of them. Nevertheless, the main idea is the Change is Fun. And change includes visualization, as visualization is part of the human-computer interaction.

If you are interested in visualization, I can only recommend you to read the list. It sketches certain issues in a new light.

Point Clouds As An Artistic Implementation

Friday, December 26th, 2008


Video cameras? Outdated! Rendering 3D point cloud data is “hip” now! Why? Because of Radiohead’s newest music video, entitled “House of cards”. Apparently they managed to be pioneers with this idea of completely eliminating the need for video cameras and creating a video clip only based on recorded 3D sensor data. The sensors they used all generate 3D point clouds:

“No cameras or lights were used. Instead two technologies were used to capture 3D images: Geometric Informatics and Velodyne LIDAR. Geometric Informatics scanning systems produce structured light to capture 3D images at close proximity, while a Velodyne Lidar system that uses multiple lasers is used to capture large environments such as landscapes. In this video, 64 lasers rotating and shooting in a 360 degree radius 900 times per minute produced all the exterior scenes.”

I found the following “making of…” video particularly interesting, as I’m currently involved in research with point cloud generating sensors like the ones mentioned. Also, the video presents the way the point cloud distortions (the random movement of some points between the scenes) where generated. Initially I thought this was a post-processing step, where some of the points depth distance was connected and weighted by a sound visualized (like the one you see in Winamp or any other similar application). Apparently though, the distance error was introduced during the data recording intentionally, to create a desired stochastic effect.

This video won a price for one of the best data visualization projects of 2008. Enjoy:

EDIT:

Here‘s a way to interactively explore the videos in 3D.