Once CorpGlory Dev team worked with Dima Barbanel and his team - Masterskaya.pro. The idea of the project was to make computational art based on the data about graduates of a Russian business school. The resulting graphics should be projected during photos creation for the person that is being interviewed. And it turned out to awesome results.

## Team

Victor Gorbachev and Andrei Kondakov pushed the complexity and the concept even further, proposing special requirements from shooting point of view: the app should produce series of frames “growing” inside out. Also was asked to make a tool where teammates could work on together.

## Technologies

We were interested in series of images which we will project later. In addition, intermediate results need to maintain for teamwork. I used something called paper.js — a great tool to work with vectors and html canvas. I made pictures serializable to binary format to store on node.js server so team members could work together on graphics.

## Algorithm

I apply same algorithm for every image but with different values of
variables. I have different types of figures. Each figure is a
sequence of curves. Every curve is array of smoothly connected
dots in polar coordinates. So I can just take any `r(θ)`

— a function of
angle, take 10 or 20 points of this function and then smoothly connect.
I need to get these dots separately to make distortion.
Distortion is sum of “bubbles”. Each bubble is a normal distribution. In case of circle, algorithm begin with `r(θ) = 1`

, and then add a gaussian, screwed to polar coordinates.