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STFEEG-Tool: A Spatial-Temporal-Frequency EEG Analysis Tool for Motor Imagery Brain-Computer Interfaces

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RenderToolbox3: MATLAB tools that facilitate physically based stimulus rendering for vision research.

Benjamin S Heasly¹, Nicolas P Cottaris, Daniel P Lichtman

¹Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA.

Journal of Vision

|February 11, 2014

Summary

This summary is machine-generated.

RenderToolbox3 offers MATLAB tools for researchers studying vision, enabling parametric scene rendering and spectral analysis. This free, open-source software aids in creating and validating physically accurate graphics for scientific research.

Keywords:

color graphics rendering material perception stimuli vision science

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Area of Science:

Computer graphics
Computational vision
Scientific visualization

Background:

Researchers require advanced tools for visual stimuli generation and analysis.
Existing methods may lack flexibility in parametric scene manipulation and spectral accuracy.

Purpose of the Study:

Introduce RenderToolbox3, a MATLAB-based software package.
Provide a workflow for researchers to create and analyze complex visual scenes.
Facilitate the use of physically based rendering for vision research.

Main Methods:

Development of MATLAB utilities for scene rendering.
Implementation of parametric control over scene attributes and renderer behaviors.
Support for spectral specification of reflectance and illuminants.
Integration of physically based material models.
Tools for validation and conversion of renderer output to physical units.

Main Results:

RenderToolbox3 facilitates the creation of scene families with manipulated attributes.
The toolbox enables spectral rendering using physically based materials.
Output validation and conversion to radiance units are supported.
The software is designed for portability across operating systems.

Conclusions:

RenderToolbox3 provides a comprehensive and accessible solution for graphics in vision research.
The toolbox enhances the ability to generate and analyze realistic visual stimuli.
Its open-source nature promotes wider adoption and contribution within the research community.