Software

Light Field Toolbox from MATLAB

In 2011 the first commercial light field camera hit the market: the Lytro F01. A consumer toy, it offered the ability to refocus images post­ capture, and not much else. The file formats were proprietary, and the software did not expose raw sensor data or 4D light fields. Options were limited for those interested in exploring the properties of the underlying light field images.

Light fields capture 2D texture, 3D geometry, and higher­ order effects like refraction, reflection, speculars and subsurface scattering. First conceived for efficiently rendering complex scenes, light fields have proven useful over a broad range of imaging and vision applications, often yielding simpler and more robust solutions than their 2D counterparts. But to benefit from the light field we must work directly with its 4D structure.

The light field toolbox was created to address this need. Currently in its fourth release, it directly exposes raw sensor data and decoded 4D light fields. It works with both models of Lytro camera available today, as well as camera arrays and gantries, including the light fields from the Stanford light field archive lightfield.stanford.edu.

Importantly for roboticists, the Lytro cameras can be calibrated and their imagery rectified, creating useful 4D images that linearly map pixels to 4D rays in space. Frequency ­domain planar and volumetric focus filters, and a spatial ­domain planar focus filter demonstrate some of the capabilities of this rectified 4D structure. Future plans include calibration and rectification for the Raytrix line of light field cameras, improved calibration of 2nd­generation Lytro cameras, and calibration of array­ and mirror style light field cameras.
Light Field Toolbox for Matlab: http://www.mathworks.com/matlabcentral/fileexchange/49683

Google+ Community: https://plus.google.com/communities/114934462920613225440

Donald Dansereau: https://profiles.stanford.edu/donald-dansereau

Author - Robotic Vision

Robotic Vision

The ARC Centre of Excellence for Robotic Vision is leading the world in transformational research tackling the critical and complex challenge of applying computer vision to robotics. We believe that the ability to see, to visually understand the complex world around us and respond to it, is critical for the next generation of robots that will perform useful work in agriculture, environmental monitoring, healthcare, infrastructure inspection, construction and manufacturing. We believe that robotic vision is the key to unleashing the full potential of robots and fundamentally changing the way we live and work. Link

Category: Software
Posted 31 May 2016

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