New MIT system extracts hidden videos from visible footage by analyzing how light reflects on a pile of clutter
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MIT CSAIL researchers have found a way to reconstruct hidden videos that are being displayed outside a camera's field of view by analyzing how reflections and shadows change in scenes that are visible to the naked eye. Once refined, this method could help self-driving cars better detect obstacles.
You can find the paper, entitled "Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization," on arXiv.org. Read more...
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