Archive for December, 2009

Capital Globe

Capital Globe is a result of our initial exploration of the iphone API. It can be used as a tool to help you learn more about the countries of the world. The capital cities are shown as dots on a globe. By rotating the globe you can shift your focus between different cities and name of the country and capital is displayed along with the flag of the country. A map mode is also available letting you explore each country in more detail. Finally the application lets you browse the Wikipedia entry for each country. Capital Globe is now on the app store.

 

Screenshot1Screenshot2ScreenShot3

Klimatrends – free iphone app now on app-store

As part of the Digital Urban Living project we have developed our first iphone app, which is now available in app store:

http://www.digitalurbanliving.dk/projects/civic-communication/klimatrends-iphone-app-english.php

833857

The climate trend app is an innovative and different way to keep up with news, opinions, emotions and environmental sensors before, under and after COP15, the United Nations Climate Change Conference in Copenhagen (December 7-18, 2009).

The app is not simply a newsreader, a social network, a measuring apparatus or a game. It's a bit of all of that, and more.

* The ocean level indicates the climate situation right now. The worse the situation, the higher the water level. The level is not an exact measure but a reflection of many impressions.
* The ice floes that emerge from below are opinions, articles and readings from CO2 sensors in Copenhagen.
* Tap an ice floe to investigate it further.
* If you are a Twitter user, you can influence the situation, both in the application and through other Twitter applications (by adding #jpcop15 in a tweet).
* You can follow other people and see what they think and how they feel right now about the climate situation.

The primary language in the app is danish. We have implemented both an OpenGL ES1.1 version and a OpenGL ES2.0 version.

Real time tracking of a number plate using SURF descriptors on the GPU

Here is small tech demo of our CUDA implementation of the SURF descriptor and matching method for finding a correspondence between images.. Here we are tracking an image of a number plate in a live web cam feed. Notice that the frame rate is bottlenecked by the screen grabbing used to create the video and not the object tracking.

YouTube Preview Image