 “Many people have said that depth estimation from a single monocular image is impossible,” says computer science Assistant Professor Andrew Ng, who will present a paper on his research at the Neural Information Processing Systems Conference in Vancouver Dec. 5-8. “I think this work shows that in practical problems, monocular depth estimation not only works well, but can also be very useful.”
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The FLEXICON project addressed the need to reduce the timescales required for producing open and distributed fault-tolerant control and monitoring systems. It developed two integrated suites of tools to support the different development phases for high-performance distributed systems.