2006W
MAT 256 Course
1.26.2006
Terrence Handscomb(terrence at umail dot ucsb dot edu)
Joriz De Guzman (lawmajor1 at aol dot com)
Microtubules and FFTs:
A connotation/denotation mix.
Table of Contents
The following links provide quick access to the various sections on this site:
- Project Description
- Project Motivation
- Project Methods
- Screenshots and Sample Output
- Team Participants
Project Description
An investigation into the differences of the visual meanings of a single image in the FFT domain and the visual domain.
Project Motivation
In this project we considered the relationship between visual representation, image readability and meaning. On one hand we considered the readability and meaning of images in two different domains; the Fast Fourier Transform domain and the visual domain.
The meaning of images in the visual domain is often determined by cultural considerations and the visual vocabularies of the viewers, while the meaning of an image in the transform domain is determined by frequency distribution.
The effectiveness of the audio track relies on the expectation that the viewer will be affected by the mood of the sound, which in turn will affect how the image is read. The time-base development eventually unfolds to a transform domain, where all audio is lost. The viewer finds it difficult to read the meaning of this domain in terms of the visual domain. Thus a point has been made.
Project Methods
This project was developed in Matlab and Apple Final Cut Pro. We compiled Microtubule video in Matlab and applied the Fast Fourier Transform onto each individual frame. After recompiling the stack of Microtubule images, the resulting video was editted in Final Cut Pro. Links to related sites are presented below:
Screenshots
Some representative screen captures are provided below:
A screenshot of the Microtubule image with no Fourier Transformation.
A screenshot of the Microtubule image at First-level Fourier Shift Transform.
A screenshot of the Microtubule image at Second-level Fourier Shift Transform.
the inversion of the blurring effect.
A screenshot of the Microtubule image at Third-level Fourier Shift Transform.
the inversion of the blurring effect.
Project Source
The video file for this project can be downloaded from here.
Team Participants
Terrence Handscomb
Terrence Handscomb. I am a MFA student specialising in critical theory and video. I have worked extensively with media based art. I have exhibited extensively in Europe, Australia and New Zealand.
Joriz De Guzman
Joriz De Guzman. I am a graduate student in the Department of Computer Science at the University of California, Santa Barbara. My research interests lie in the field of Computer Vision with Bioinformatics/Bio-Image Informatics as a sub-interest.