Cortexica's VisualSearch platform uses techniques inspired by the human vision system to compensate for different lighting conditions. It identifies key features of an object irrespective of their orientation, size, or how dark or light they appear in the image. This makes it possible to identify products at a distance or even while they are moving. Cortexica's technology can also spot logos and objects in videos.
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The human vision system compares different points of an image with its neighbors—a phenomenon known as "edge extraction"—in order to identify features in a range of different conditions. "We have basically copied that architecture," says Bharath. Cortexica uses graphical processing units (GPUs) to handle the parallel processing.
Coping with variations and resolving them is a major issue in computational vision, says Ferryman. "It's crucial. If you can't have this invariance, then you can't do reliable matching," he says.
via MIT Technology Review
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