Tag: #TypologyMachineWIP

Topic1: Paper Chromatography Experiment – inks are almost always made up of multiple colors which spread at different rates. Technique: Time-lapse + PlayBack

Plan 1-A: Through Paper Chromatography, we see that the final color spectrum is color separation and contour separation. Restore the single color code through flashback.

step1 Write the answer on paper

step2 Perform Paper Chromatography and record the whole process with a camera

step3 Video production using time-lapse photography and flashback

Plan 1-B: Color reconstruction of plants. There are no two identical leaves in the world. We think that all leaves in the world are the same green. Chromatography is used to analyze the color structure of different leaves to determine the uniqueness of leaves in the world.

step1 Leaf type selection

step2 Grind into powder and filter the leaves

step3 The whole process of Chromatography of leaf juice in time-lapse photography

* Kitchen filter paper can be used to make experiments, but the colored markers I picked didn’t have great color separation, so I need to do more experimentation.

 

Topic2 Bubble Photography. The features of bubbles that attract me are as follows: (1) The infinite possibilities of color and combination under light (2) The instantaneous existence and easy to break (3) Fisheye imaging.

I have a series of possibilities I want to explore, you can choose one to start exploring:

Plan2-A: “Capturing the disappearance of bubbles”. Capturing the moment of popping bubbles in different ways. Technology: Using Edgertronics high-speed cameras.

Plan2-B: Bubbles produced by some special liquids, such as oil-water mixture.

Plan2-C: Bubbles and smoke.

I’ve recently been really interested in microphones and how they are meant to amplify very specific things. For example, contact mics are meant for capturing the sound of something interacting with the mic. It doesn’t have the best sound quality and is inexpensive because it is supposed to capture generality.

 Although ultrasonic microphones have some of the highest sample rates of most microphones, they aren’t necessarily the best microphones for music production or for radio broadcasters as an example. Depending on the purpose of the microphone, they are biased towards various portions of the frequency spectrum against others, and I find the technology that allows this to happen to be very compelling.

My idea is to mic a long list of things, and create a library of sounds that are constantly being recorded, but aren’t heard in the average human frequency spectrum. I plan to record sounds, places, people, and everyday interactions at the highest sample rate the ultrasonic microphone In order to avoid aliasing, there will be an initial hard bandpass filter that filters out everything beyond 192khz. After, I will filter out the audible information from 0 to 20khz. Then I will tune everything up into 192khz frequencies down several octaves until all of the information that was inaudible is audible and the initially audible portion of the frequency spectrum is no longer audible.

I took interest in this study done on splitting specular and diffuse with real images and wanted to incorporate it into my typology machine.

Goal

As the diagram above shows, I want to create a system where I have a collection of photos and a model of the object, and it outputs 3d capture of the object with its respective material properly mapped.

Due to my lack of knowledge in ML, I feel like it would be difficult to expect the system to do the mapping on its own. As in, I initially want the system to distinguish from the photos 1. the object is composed of how many different parts and 2. which material property matches with which respective parts. However, this process might need to be done manually.

Target Object

What I really wanted to explore in this study is how can I capture an object composed of different components. Most real objects are made up of different parts with different material properties. Using the scissor example, the blade will have a higher specular value than the handle because it is more shiny and bounces off more specular light.

Therefore, for my subject of capture I wanted to work with my lotion bottles, which has a mix of different material types.

The main idea is to create a typology documenting the variation in skin tones across different parts of the human body.

I plan to use a photography setup that includes standardized lighting and camera settings to capture photos of different body parts: the face, hands, feet, etc. This ensures that the lighting and exposure are consistent across all photos, emphasizing differences in skin tone, brightness, contrast etc.

I plan to use image processing software, extract RGB values or other color data from each image. These values will then be plotted on a color grid, showing the skin tone range for each person.

I plan to present the collection of these colors in grid format for comparison between individuals, highlighting the diversity in skin tones even within one person. They can be sorted or ordered by greatest to least contrast, color hues, or something else that becomes apparent from the data

An example for what it might look like for one person: