Researchers from the Embedded Systems and Robotics group at TCS Research & Innovation have recently developed a two-view depth network to infer depth and ego-motion from consecutive monocular sequences. Their approach, presented in a paper pre-published on arXiv, also incorporates epipolar constraints, which enhance the network's geometric understanding.
from News on Artificial Intelligence and Machine Learning http://bit.ly/2TPVWme
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A two-view network to predict depth and ego motion from monocular sequences
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