5,471 research outputs found
Can Computers Create Art?
This essay discusses whether computers, using Artificial Intelligence (AI),
could create art. First, the history of technologies that automated aspects of
art is surveyed, including photography and animation. In each case, there were
initial fears and denial of the technology, followed by a blossoming of new
creative and professional opportunities for artists. The current hype and
reality of Artificial Intelligence (AI) tools for art making is then discussed,
together with predictions about how AI tools will be used. It is then
speculated about whether it could ever happen that AI systems could be credited
with authorship of artwork. It is theorized that art is something created by
social agents, and so computers cannot be credited with authorship of art in
our current understanding. A few ways that this could change are also
hypothesized.Comment: to appear in Arts, special issue on Machine as Artist (21st Century
Looking through the eyes of the painter: from visual perception to non-photorealistic rendering
In this paper we present a brief overview of the processing in the primary visual cortex, the multi-scale line/edge
and keypoint representations, and a model of brightness perception. This model, which is being extended from
1D to 2D, is based on a symbolic line and edge interpretation: lines are represented by scaled Gaussians and
edges by scaled, Gaussian-windowed error functions. We show that this model, in combination with standard
techniques from graphics, provides a very fertile basis for non-photorealistic image rendering
Skill of Eye-Hand Coordination in Calligraphy - Difference of Skill of Hand-Eye Coordination between Expert and Novice -
A system that can simultaneously measure the movement of a brush tip and the eye-gaze position during a calligraphy task has been developed. The system consisted of a device to measure the location of a brush tip and an eye tracker. Using this system, the skill of hand-eye coordination was measured for an expert and novices. It has been clarified that an expert of calligraphy distributes the eye-gaze over a wider area and gazes in advance a part that should be written next. In other words, an expert does not gaze at the brush tip but at the part that should be written at the next stage
Artistic rendering of the visual cortex
In this paper we explain the processing in the
first layers of the visual cortex by simple, complex and endstopped
cells, plus grouping cells for line, edge, keypoint and
saliency detection. Three visualisations are presented: (a) an
integrated scheme that shows activities of simple, complex
and end-stopped cells, (b) artistic combinations of selected
activity maps that give an impression of global image
structure and/or local detail, and (c) NPR on the basis of a
2D brightness model. The cortical image representations
offer many possibilities for non-photorealistic rendering
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