News, good
I was able to solve some computational problems that were contaminating the algorithm's speed. I improved the calculation speed by a big factor using a faster convolution algorithm and a hack to the Gabor filter kernel with a q-Gaussian which enables shading and region detection (see example below).
The use of a mathematical model for the receptive fields of the neural visual cortex showed more potential than what had originally inspired my work. I'm using a pre-trained-by-nature GNN (G stands for Gabor).
Simple receptive fields have Gabor shapes, but not all Gabor shapes are receptive fields.
After some research and experiments I came to the conclusion that it was feasible to design a computational-robotic system, capable of automatic drawing. In my practice I started producing various experimental drawings with pen plotters and algorithms and found that it seems possible to refine this approach by better understanding the possibilities of the algorithmic modification of images and its embodiment, and linking this approach with a breakdown of the artist's way of working.
This opens new ways to better understand how drawing, and how (self)depiction is perceived, how variations of styles, procedures, algorithms can be used to explore the reciprocity of the artist (self)perception and (self) image over time.
Criado/Created: 27-08-2025 [12:17]
Última actualização/Last updated: 06-09-2025 [15:20]
For attribution, please cite this page as:
Charters, T., "News, good": https://blog.nexp.pt/somenews.html (06-09-2025 [15:20])
(cc-by-sa) Tiago Charters - tiagocharters@nexp.pt