This work is ongoing output from research work by Steve DiPaola that attempts to build a computational painting system (called ‘painterly’) that allows aspects of art (the creative human act of fine art painting) and science (cognition, vision and perception; as well as computational design) to both enhance and validate each other. The research takes a novel approach to non photorealistic rendering (NPR) which relies on parameterizing a semantic knowledge space of how a human painter paints, that is, the creative and cognitive process
The focus in this paper is the application of evolutionary computing processes in the generation of ...
In this work, I propose a digital painting process to create virtual paintings that can be created w...
The purpose of the article is to explore the specifics and uniqueness of visual works created using ...
We overview our interdisciplinary work building parameterized knowledge domains and their authoring ...
Artists and scientists have different approaches to knowledge acquisition, usage and dissemination. ...
Science and art are merging and with artificial intelligence system like neural networks, genetic pr...
Portrait artists using oils, acrylics or pastels use a specific but open human vision methodology to...
Traditional portrait artists use a specific but open human vision methodology to create a painterly ...
This paper is a review and exploration of the work over the last ten years of Light Years Projects,...
Painterly rendering has been linked to computer vision, but we propose to link it to human vision be...
A new scheme for painterly rendering (NPR) has been developed. This scheme is based on visual percep...
Painterly rendering (non-photorealistic rendering or NPR) aims at translating photographs into paint...
[Abstract] This paper presents the results of two experiments comparing the functioning of a computa...
We experiment with computer creativity by employing and modifying techniques from evolutionary compu...
The focus in this paper is the application of evolutionary computing processes in the generation of ...
The focus in this paper is the application of evolutionary computing processes in the generation of ...
In this work, I propose a digital painting process to create virtual paintings that can be created w...
The purpose of the article is to explore the specifics and uniqueness of visual works created using ...
We overview our interdisciplinary work building parameterized knowledge domains and their authoring ...
Artists and scientists have different approaches to knowledge acquisition, usage and dissemination. ...
Science and art are merging and with artificial intelligence system like neural networks, genetic pr...
Portrait artists using oils, acrylics or pastels use a specific but open human vision methodology to...
Traditional portrait artists use a specific but open human vision methodology to create a painterly ...
This paper is a review and exploration of the work over the last ten years of Light Years Projects,...
Painterly rendering has been linked to computer vision, but we propose to link it to human vision be...
A new scheme for painterly rendering (NPR) has been developed. This scheme is based on visual percep...
Painterly rendering (non-photorealistic rendering or NPR) aims at translating photographs into paint...
[Abstract] This paper presents the results of two experiments comparing the functioning of a computa...
We experiment with computer creativity by employing and modifying techniques from evolutionary compu...
The focus in this paper is the application of evolutionary computing processes in the generation of ...
The focus in this paper is the application of evolutionary computing processes in the generation of ...
In this work, I propose a digital painting process to create virtual paintings that can be created w...
The purpose of the article is to explore the specifics and uniqueness of visual works created using ...