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Here's what we found for the Vision tag:

art projects

Revisting Rembrandt

Revisting Rembrandt

Using new visual computer modelling techniques, we show that artists use vision based techniques to guide the eye path of the viewer through their paintings in significant ways.

Creativity, Vision, CogSci, PainterlyRendering

http://ivizlab.sfu.ca/research/rembrandt/

research projects

Bio Sensing System for 2D, 3D, VR

Bio Sensing System for 2D, 3D, VR

Our lab has extensive experience in using different sensing technology including eye tracking and facial emotion recognition (DiPaola et al 2013), as well as gesture tracking and bio sensing heart rate and EDA (Song & DiPaola, 2015) which both affect the generative system and can be used to understand the reception to the generated graphics (still, video, VR).

AI, Vision, CogSci, Creativity, FaceResearch, VRWorlds

http://ivizlab.sfu.ca/research/biosense
Cognitive (AI) based Abstraction

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.

AI, Vision, CogSci, Creativity, NPR, NeuralNets, PainterlyRendering,VRWorlds

http://ivizlab.sfu.ca/research/cogabstract
Deep Learning AI Creativity Research

Deep Learning AI Creativity Research

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. We are known for modelling expression semantics and generation of visual art (stills, videos, VR) but have extended our work into expressive forms of linguistic (word based) narrative.

AI, Vision, CogSci, Creativity, GenerativeDesign, PainterlyRendering, NPR, NeuralNets

http://ivizlab.sfu.ca/research/deepai
Painterly Portrait NPR Project

Painterly Portrait NPR Project

Can you build a computer parameterized model of the cognitive process or open methodology that human portrait painters use. This interdisciplinary toolkit research project automatically generates painterly output from people photographs and cognitive parameters.

PainterlyRendering, Vision, CogSci, Creativity, EmotionExpression

http://ivizlab.sfu.ca/research/painterly
Rembrandt / Vision Science Work

Rembrandt / Vision Science Work

Using new computer modelling techniques, we show that artists including Rembrandt, 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...

PainterlyRendering, Vision, CogSci, Creativity, FaceResearch

http://ivizlab.sfu.ca/research/rembrandt
AI Virtual Human

AI Virtual Human

Our open source toolkit / cognitive research in AI 3D Virtual Human (embodied IVA : Intelligence Virtual Agents) - a real-time system that can respond emotionally (voice, facial animation, gesture, etc) to a user in front of it via a host of gestural, motion and bio- sensor systems. The system uses SmartBody (USC) and MatLab Simulink as its control and AI system.

AI, Vision, CogSci, Creativity, FaceResearch

http://ivizlab.sfu.ca/research/virthuman

publications

Touch of the Eye: Does Observation Reflect Haptic Metaphors in Art Drawing?”

1969: Touch of the Eye: Does Observation Reflect Haptic Metaphors in Art Drawing?”

Choi S K, DiPaola S,—Proc ACM Conf on Human Factors in Computing Systems (CHI '15), , pp. 579-588, 2015.

PDF proceeding

CogSci, Creativity, Vision


1969: A Knowledge Based Approach to Modeling Portrait Painting Methodology

DiPaola S,—In Proc: Electronic Visualisation and the Arts, 10 pages, London, 2007.

proceeding

CogSci, Vision, PainterlyRendering, Creativity


The Trace and the Gaze: Textural Agency in Rembrandt’s Late Portraiture, a Vision Science Perspectiv

1969: The Trace and the Gaze: Textural Agency in Rembrandt’s Late Portraiture, a Vision Science Perspectiv

DiPaola S,—In Proc: Electronic Visualisation and the Arts, 8 pages, London, 2008.

PDF proceeding

CogSci, Vision, PainterlyRendering, Creativity


1969: Face, Portrait, Mask – Using a Parameterized System to Explore Synthetic Face Space

DiPaola S,—In Proc: Electronic Visualisation and the Arts, 7 pages, London, 2010.

proceeding

CogSci, Vision, PainterlyRendering, Creativity


How a Painter Paints: An Interdisciplinary Understanding of Embodied Creativity

1969: How a Painter Paints: An Interdisciplinary Understanding of Embodied Creativity

Choi S K, DiPaola S,— Proc; Electronic Visualisation and the Arts, pp. 127-134. British Computer Society, London, 2013.

PDF proceeding

CogSci, Creativity, Vision


Expressive Animated Character Sequences Using Knowledge-based Painterly Rendering

1969: Expressive Animated Character Sequences Using Knowledge-based Painterly Rendering

Seifi H, DiPaola S, Arya A, —International Journal of Computer Games Technology, International Journal of Computer Games Technology, vol. 2011, Article ID 164949, 7 pages, 2011.

PDF journal

PainterlyRendering, Vision, CogSci, Creativity, FaceResearch


Rembrandt’s Textural Agency: A Shared Perspective in Visual Art and Science

1969: Rembrandt’s Textural Agency: A Shared Perspective in Visual Art and Science

DiPaola S, Riebe C, Enns J,—Leonardo, Vol 43, No 3, pp 145-151, 2010.

PDF journal

PainterlyRendering, Vision, CogSci, Creativity, FaceResearch


Painterly Rendered Portraits from Photographs using a Knowledge-Based Approach

1969: Painterly Rendered Portraits from Photographs using a Knowledge-Based Approach

DiPaola S,—In Proc: SPIE Human Vision and Imaging, Int. Society for Optical Engineering, Keynote paper. pp 33-43, 2007.

PDF proceeding

PainterlyRendering, Vision, CogSci, Creativity, EmotionExpression


1969: Quantifying artist’s use of human vision constructs to influence viewer eye gaze,

DiPaola S,—In Proc: SPIE Human Vision and Imaging, Int. Society for Optical Engineering, 6 pages, 2009.

proceeding

PainterlyRendering, Vision, CogSci


Following The Masters: Viewer Gaze is Directed by Relative Detail in Painted Portraits

1969: Following The Masters: Viewer Gaze is Directed by Relative Detail in Painted Portraits

Riebe C, DiPaola S, Enns J,—Journal of Vision, Vol 9, No 8, pp 368 (abstract), 2009.

PDF journal

PainterlyRendering, Vision, CogSci, Creativity, FaceResearch