The PiXspacer is an experimental application that turns digital image sequences into virtual 3D shapes. The software has a new kind of approach on image viewing and browsing by using the images’ metadata for creating the computer vision.

Our aim

As a spin-off of digital photography it has became really simple and cheap to capture motion and spatial environments as image burst or time laps sequences, leading to a massive amount of images of the ‘same things’ to look at. This new habit of image-mass production requires new approaches in picture viewing and handling, evoking the development of new tools and technologies.

Why do we prepare it?

The traditional photo viewers are unable to display these pixilations as animations straightaway. Rendering the sequences as a movie is one possible solution but needs post production, processing and consumes a lot of time.

The concept behind the PiXspacer is not only to eliminate the above mentioned issues but also to explore/expand the immanent possibilities of sequential imaging.

How does it work?

Leaving the traditional motion picture experience behind the PiXspacer processes the planar images’ temporal sequences in virtual 3D space. The programme reads the individual pictures’ EXIF data and defines their position according to the chosen parameters. For example a burst of images become a 3D block of pictures by using their time and date stamp. Time is translated to space.

Navigation is simple and unlimited in the virtual environment. The user can zoom in, rotate and move the picture-sculptures around in any angle. The objects can be static or animated. One can even fly into the blocks to examine the strange objects more closely. The visual experience inside tunnel like picture phase labyrinths is extraordinary, somewhat psychedelic.

Current state

Programming the sequences into 3D objects is ready as well as the basic navigation in and around the created image blocks and clouds. As we achieve more and more progress with the project we come across a lot of new ideas and possible directions for further development.

Participating researchers:

Zádor Tamás

More images on Flickr:

piXspacer_scrshot_003 by zatamaspiXspacer_scrshot_017 by zatamaspiXspacer_scrshot_007 by zatamas