Dec
06
2009

Reverse engineering sight

Finding better ways for computers to see

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Building biologically-inspired vision systems

Living organisms are very good at making sense out of what they see. Designing machines that can recognize objects when seen from an angle or at various distances is challenging. Facial or gesture recognition is becoming common in our computing devices.

Reverse engineering the visual cortex

In an attempt to improve upon current state of the art visual systems, scientists are attempting to reverse engineer biological visual systems.

Huge advances have been recently made in visualizing the structure of our visual cortex (hardware) but the inner workings of the neuronal systems (software) remain a mystery. Mimicking natural selection, scientists are testing thousands of software algorithms at a time.

Using processors from game playing computers

Using graphical processors from game playing computers (such as those found in the PlayStation 3 and high-end NVIDIA graphics cards), scientists have discovered better visual modeling systems.

"The best of these models, drawn from thousands of candidates, outperformed a variety of state-of-the-art vision systems across a range of object and face recognition tasks."

"GPUs are a real game-changer for scientific computing. We made a powerful parallel computing system from cheap, readily available off-the-shelf components, delivering over hundred-fold speed-ups relative to conventional methods,"

Sources
PLoS Computational Biology published research paper
PhysOrg.com
Visual Neuroscience Group @ The Rowland Institute at Harvard

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