a picture is worth a thousand words

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Sydney

Another City in Words.

Download PDF sydney-eng.pdf (627kB).

Same approach as the NYC image. Words and photo from this wikipedia article.

Free RPC People

RPC objects are great for 3D rendering. They render fast and it is easy to setup.

But sometimes you just don’t need photorealistic trees or people. For example in an architectural competition,  in order to show the building scale, people inserts only human transparent silhouettes.

Here you have my little own colection. Based in ex colleagues photos. (hi BM!)

Download JO-PersonasOpacas-BM (230kb)

Files in the ZIP:

JO-PersonasOpacasBM-Alicia.rpc
JO-PersonasOpacasBM-Carolina.rpc
JO-PersonasOpacasBM-Filip.rpc
JO-PersonasOpacasBM-Francisco.rpc
JO-PersonasOpacasBM-Jacopo.rpc
JO-PersonasOpacasBM-JuanFrancisco.rpc
JO-PersonasOpacasBM-Maca.rpc
JO-PersonasOpacasBM-Monica01.rpc
JO-PersonasOpacasBM-Monica02.rpc
JO-PersonasOpacasBM-Patrick.rpc

Free for personal and commercial use.

 

2010 Fractal Calendar

Another processing experiment. This time I coded a generative calendar where the days follow an espiral shape. Each rotation represent a year.

Well there is a big lie in the post title. This calendar is not fractal, but you can see a lot of years if you zoom. So, in some way it looks like a fractal.

The moon phase and the 24h daylight clock are suitable for Madrid (Spain). The colors are randomly taken from a palette. One color for each week or month. I added some depth by turning the colors darker in each step.

Probably I will post two or three calendar designs before the end of 2009. I researched a lot and now I have enough tools and ideas for more versions.

As usual, the bigger you print the better it looks.

Download 2010 Fractal Calendar (English version). 580kB.
Download 2010 Fractal Calendar (Spanish version). 580kB.

Obama tree.

We will go a step forward from this Obama Post. Remember in that case I counted all the words in more than one hundred Obama speeches.

Using the same data I made a new algorithm based on a simple tree structure but, in this case, the branches are the words.

The tree structure is highly random, but the size o the words (branch width) is always proportional to the number of times the word appears in the speeches.

The image contains four samples with different color variations. The branches take their color from the original Obama photo post. I added some transparency so the overlap generates more color variations.

The algorithm generates a new random version of the tree every time I click. So I just clicked till I obtained a nice one and then saved it as pdf.

Download obama-tree.pdf 5.34MB

Also take a look at this other version. Generated using the Van Gogh Image results.

Hope you like it!.

Jester in words.

Marillion-ENG

Marillion was one of my favorites bands… while Fish was in there.

In the Fish era all the albums covers was made by Mark Wilkinson. Really beatifull drawings that match perfectly with the introspective songs lyrics.

Let’s go. I mix both concepts counting all the words from Marillion (with Fish) lyrics and one of their album covers.

The first most used words: know 80, just 67, heart 52, time 47, got 43, way 41, now 39, eyes 38, never 37, say 34, another 33, love 33, go 32, take 31, like 30, night 30, away 29, tux 29, want 28, burning 27.

Download PDF version. (347kB).
Download (white) PDF version. (347kB).
(see png)

(Dedicated to Rafa, Chavo and Pez… so, so, so close to forty)


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