Relevant content for the tag: vision

Publications

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Touch of the Eye: Does Observation Reflect Haptic Metaphors in Art Drawing?
Conference Proceedings: ACM Conf on Human Factors in Computing Systems (CHI '15), 2015
pp. 579-588

S. Choi, S. DiPaola

Seoul, South Korea


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How a Painter Paints: An Interdisciplinary Understanding of Embodied Creativity
Conference Proceedings: Electronic Visualisation and the Arts, 2013
pp. 127-134

S. Choi, S. DiPaola

London, UK

British Computer Society


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Expressive Animated Character Sequences Using Knowledge-based Painterly Rendering
Journal Article: International Journal of Computer Games Technology, International Journal of Computer Games Technology, 2011
Vol. 2011, Article ID 164949, 7 pages

H. Seifi, S. DiPaola, A. Arya

Face, Portrait, Mask: Using a Parameterised System to Explore Synthetic Face Space
Conference Proceedings: Electronic Visualisation in Arts and Culture, 2010
pp 213-227

S. DiPaola

Springer


Research

AI Affective Virtual Human

Our affective real-time 3D AI virtual human project with face emotion recognition, movement recognition and full AI talking, gesture and reasoning.


AI Anonymization

Bringing together an interdisciplinary team, we created a wholly new AI technique to anonymize interview subjects and scenes in regular and 360 videos to create a technique that would be much better at conveying emotional and knowledge information than current anonymization techniques.


Deep Learning AI Creativity For Visuals / Words

Using Cognitive Science as a basis for our work, we attempt to model aspects of human creativity in AI. Specially we are using Neural Networks (and evolutionary systems) in the form of Deep Learning, CNNs, RNNs and other modern techniques to model aspects of human expression and creativity.


Cognitive (AI) Based Abstraction

What is abstraction? Can you use AI techniques to model the semantics of an idea, object, or entity, where that understanding allows for abstraction of the meaning? We use several AI techniques including genetic programming, Neural Nets and Deep Learning to explore abstraction in its many forms. Mainly here in the visual and narrative arts.


Painterly NPR Project

Portrait artists and painters in general have over centuries developed, a little understood, intuitive and open methodology that exploits cognitive mechanisms in the human perception and visual system.


Rembrandt / Vision Science Work

Using new visual computer modelling techniques, we show that artists use vision based techniques (lost and found edges, center of focus techniques) to guide the eye path of the viewer through their paintings in significant ways.