ThreePhase Scanning

An experiment with ThreePhase Scanning.

Projection Mapping Dice

Using my early forepoint tracking code, together with ofxSyphon and MadMapper.

MakerBot Counting Hands

The homework was to turn data collected on a computer into a 3D object.

Integers between 1 and 10 seemed to be the most simple data that I could turn into a three dimensional model and so I decided to use the number gestures using a single hand that I had noticed when in China. I used KinectToStl to get the hand models rendered as STL mesh files from Kinect depth data. After editing the STL files in Meshlab, I outputted the combined files to the MakerBot to print.

SMS Frown Alert

Homework Assignment to build something that pulls facial gesture data out of faceshift in order to actuate something in the real world.

Enter the SMS Frown Alert....

Staring Contest

Staring Contest from Mark Kleback on Vimeo.

Using the Forepoint algorithm, an Arduino, and a stepper motor, this Kinect can't take its "eyes" off of you.

Sliced head

For the final class I've decided to combine 3D printing and AR. A pattern is printed on each head's slice. Every pattern is associated with an image of human brain's slice that is projected on top. Slice by slice the user explore the human brain. According to the stimula sent to the brain different images will be projected in order to highlight the different affected area.

Sliced Head from Federico Zannier on Vimeo.

Projection mapping: e-books

I wanted to make my books more attractive and play around with projection mapping.

e-books from Federico Zannier on Vimeo.

3D scanner

For the first assignment we were asked to build a 3D scanner from scratch. I took inspiration from <a href="http://fredtruman.com/3d-sensing-and-visualization-week-01-milk-scanner" title="this" target="_blank">here</a> and I tried to build my own.

3D breakfast from Federico Zannier on Vimeo.

Drawing with a Kinect

Using OpenFramewoks, the challenge for this assignment was to find the 'fore point' from the Kinect's Depth Image and treating it as the tip of a pencil.
I've merged the ribbon example by James Jorge with the Kinect point cloud example by Kyle McDonald.

Hand drawing with a Kinect from Federico Zannier on Vimeo.

Week 1. Apple.

For the first week's assignment ("make a 3d scanner"), Manuela and I decided to scan and render an apple, taking two approaches.

1) Milk Scan (non invasive)

We cut an apple in half, put it in a container, and covered it with milk in layers as tall as a sheet of acrylic that we planned to use to reconstruct it later. Of course this was a serious scientific experiment, and as you can see in the photos we marked registration points, measured the layers of milk, and made sure that the table was level.

The one problem that we had –the lighter lower half of the apple started to float–, we fixed by punching metal nails into it. So the scan became quite invasive after all...

Here is a sample of the photos we took:

Once we had the images, we processed them to get the outlines to send to the laser cutter, but since the machine was down, we continued with our second plan.

2) Knife Scan (invasive)

For our second scan we cut an apple in thin slices, lit from below so that the details of the texture were visible:

Then we created a gif animation of it:

, made a Processing sketch to reconstruct it:

, and finally recreated the effect using Kyle's Slices Example code, from the Appropriating New Technologies class):