GMU:Algorithmic Art/Hilde Karin Braunschweig: Difference between revisions

Latest revision as of 13:40, 6 January 2019

19.10.2018 - Week 1

Result	Algorithm
	Homework / Introduction Superimposed results of the Introductory Algorithm. By executing the algorithm, each participant of the class created a unique personal sign, based on their own name. Link to Algorithm
	Recreating Q1 Supermatistic by László Moholy-Nagy. Link to Algorithm
	Recreating AXL II by László Moholy-Nagy. Link to Algorithm

26.10.2018 - Week 2

Result	Algorithm
	Creating a 2D grid structure, using nested for loops in Processing. Link to Algorithm

02.11.2018 - Week 3

Result	Algorithm
	Recreating "Schotter" by Georg Nees in class. Link to Algorithm
	Experimenting with Brownian Motion in class. Link to Algorithm - random directions Link to Algorithm - orthogonal directions
Result	Algorithm
	some more experiments on randomness. Link to Algorithm
	Link to Algorithm
	Link to Algorithm

09.11.2018 - Week 4

Result	Algorithm
	Experiments with the noise function in class. idea from the "Unknown Pleasures" Poster by Joy Division. Link to Algorithm

22.11.2018 - Week 5

Result

Algorithm

some experiment on moving waves with randomness and noise, starting from one point in the middle or from two points on the left and right edges.

Somehow lost some files. but they all are based on the same algorithm, with different settings in color, size, speed and number : Link to Algorithm

30.11.2018 - Week 6

Result

Algorithm

we started to work with images. each pixel is referring to a line. the length of the lines and their number and distance is depending on the x coordinate of the mouse.

Link to Algorithm

I used a similar technique to create christmas postcards. The first one is a photo of trees in winter and only the darkest parts of the picture are shown. I printed the result with a pen plotter.

Link to Algorithm

The second one is a candle and only the brighter pixels are displayed. The pixels are simplified into two orthogonal lines. Their length is depending on their brightness. I don't know why, but this one could not be printed with the plotter.

Link to Algorithm

14.12.2018 - Week 7

Result

Algorithm

This is a result from the so called Pixel Sorting technique we did in class.

Original Picture is a portrait of Richard Avedon by Jacques-Henri Lartique, 1966.

Link to Algorithm

We also started to work within a 3d environment. we loaded images and made the height of their pixels depending on their brightness.

As images, I took some results of earlier algorithms,
the first is the one from the grid lesson
the other one from the balloon lesson. I like that one because in 2d it looks to me like a growing earth ball and in 3d like beautiful snowy mountains.

Link to Algorithm

HGP-Algorithms

Result	Algorithm
	My first algortithm was only about creating an intersting pattern, but it didn't really came out like I expected it. I forgot to write, that the lines should go from the left to the right edge of the paper. and I wrote a second algorithm underneath, but the HGP assumed them as one algorithm, which made it maybe a bit difficult to understand what to do. But it looks very intersting and abstract and I at least learned how difficult it is to give correct advises and to make another person realize an image that only exists in ones head.
	In this algorithm we should include randomness. I wanted to create a rectengular spiral, by drawing 3 lines in a 90 degeree angle and one line in an angle choosen by the HGP. I reduced the area for the angles so that the algorithm would work, but i maybe should have reduced it more, so that there are more lines and a more interesting image.
	Noise Notation This algorithm was about collecting parameters and numbers out of our surrounding. I choose the topic noise, because I had a class about Urban Soundscapes in the last semester and I wanted to try a simple form of notation. The HGP shouldonly focus on the hearing in crowded places. I did not say whether to draw the waves on top of each other or under each other, thats why there are these 2 different forms in the result. I like it, that you can see the differences between the different places where the noise was notated and I had fun hearing about what some significant wave forms mean (like screaming kids on the ice rink)
	This weeks topic was all about working with images, so the HGP algorithm is, too. I wanted to see, how one can edit images with some simple steps, so that you can not see the original content of the picture any more. I choose a face as a subject of the picture, because normally one could still recognize some parts like the eyes, even if they are in a different position. But due to the blue colour of the original image, it is even hard to find the eyes. The triangle segments of the image sholn't be arranged randomly, so I choose to let the HGP arrange them by following the parameters of a text and write this text next to the new generated image. If there is a description to a picture, it changes the content of what we see, so I liked the idea, that through the citation the viewer can search for a new sense in the new picture.

@@ Line 119: / Line 119: @@
 ! style="width: 50%" | Algorithm
 |-
+|
 [[File:hütte02.jpg|400px]]<br><br>
 [[File:hütte03.jpg|400px]]<br><br>
@@ Line 124: / Line 125: @@
 |
-we started to wor with images.
+we started to work with images.
 each pixel is referring to a line. the length of the lines and their number and distance is depending on the x coordinate of the mouse.
 [[Media:h_tte.pde|Link to Algorithm]]
 |-
+|
+[[File:bäume-grün.jpg|400px]]
+|
+I used a similar technique to create christmas postcards.
+The first one is a photo of trees in winter and only the darkest parts of the picture are shown. I printed the result with a pen plotter.
+[[Media:b_ume.pde|Link to Algorithm]]
+|-
+|
+[[File:kerze.jpg|400px]]
+|
+The second one is a candle and only the brighter pixels are displayed. The pixels are simplified into two orthogonal lines. Their length is depending on their brightness.
+I don't know why, but this one could not be printed with the plotter.
+[[Media:kerze.pde|Link to Algorithm]]
+|-
+|}
+==14.12.2018  -  Week 7==
+{| border="1"
+|-
+! style="width: 50%" | Result
+! style="width: 50%" | Algorithm
+|-
+|
+[[File:pixelSorting_02.jpg|400px]]
+|This is a result from the so called Pixel Sorting technique we did in class.
+Original Picture is a portrait of Richard Avedon by Jacques-Henri Lartique, 1966.
+[[Media:pixelSorting.pde|Link to Algorithm]]
+|-
+|
+[[File:pictureTo3dLines2.jpg|400px]] <br> <br>
+[[File:pictureTo3dLines1.jpg|400px]]
+|We also started to work within a 3d environment. we loaded images and made the height of their pixels depending on their brightness. <br>
+As images, I took some results of earlier algorithms, <br>
+the first is the one from the grid lesson <br>
+the other one from the balloon lesson. I like that one because in 2d it looks to me like a growing earth ball and in 3d like beautiful snowy mountains.
+[[Media:peasyCam_dreiDmitBild_berge.pde|Link to Algorithm]]
+|-
+|}
+==HGP-Algorithms==
+{| border="1"
+|-
+! style="width: 50%" | Result
+! style="width: 50%" | Algorithm
+|-
+|[[File:1-curves.jpg| 400px]]<br><br>
+| My first algortithm was only about creating an intersting pattern,  but it didn't really came out like I expected it. I forgot to write, that the lines should go from the left to the right edge of the paper. and I wrote a second algorithm underneath, but the HGP assumed them as one algorithm, which made it maybe a bit difficult to understand what to do. But it looks very intersting and abstract and I at least learned how difficult it is to give correct advises and to make another person realize an image that only exists in ones head.
+|-
+|[[File:2-verschobeneRechtecke1.jpg | 400px]]<br>
+[[File:2-verschobeneRechtecke2.jpg | 400px]]<br>
+| [[File:2-verschobeneRechtecke.jpg | 400px]]<br>
+In this algorithm we should include randomness. I wanted to create a rectengular spiral, by drawing 3 lines in a 90 degeree angle and one line in an angle choosen by the HGP. I reduced the area for the angles so that the algorithm would work, but i maybe should have reduced it more, so that there are more lines and a more interesting image.
+|-
+|[[File:3-noiseNotation.jpg | 400px]]<br>
+| Noise Notation
+This algorithm was about collecting parameters and numbers out of our surrounding. I choose the topic noise, because I had a class about Urban Soundscapes in the last semester and I wanted to try a simple form of notation. The HGP shouldonly focus on the hearing in crowded places. I did not say whether  to draw the waves on top of each other or under each other, thats why there are these 2 different forms in the result. I like it, that you can see the differences between the different places where the noise was notated and I had fun hearing about what some significant wave forms mean (like screaming kids on the ice rink)
+|-
+|[[File:ble.jpg | 200px]] [[File:ble_cover.jpg | 200px]]<br><br>
+[[File:4-bild dreiecke.jpg | 400px]]<br>
+|
+[[File:4-bild-algorithmus.jpg | 400px]]<br><br>
+This weeks topic was all about working with images, so the HGP algorithm is, too. I wanted to see, how one can edit images with some simple steps, so that you can not see the original content of the picture any more. <br>
+I choose a face as a subject of the picture, because normally one could still recognize some parts like the eyes, even if they are in a different position. But due to the blue colour of the original image, it is even hard to find the eyes. <br>
+The triangle segments of the image sholn't be arranged randomly, so I choose to let the HGP arrange them by following the parameters of a text and write this text next to the new generated image. If there is a description to a picture, it changes the content of what we see, so I liked the idea, that through the citation the viewer can search for a new sense in the new picture.
+|-
 |}