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Training Deep Neural Networks to Detect Repeatable 2D Features Using Large Amounts of 3D World Capture Data
[article]
2019
arXiv
pre-print
Image space feature detection is the act of selecting points or parts of an image that are easy to distinguish from the surrounding image region. By combining a repeatable point detection with a descriptor, parts of an image can be matched with one another, which is useful in applications like estimating pose from camera input or rectifying images. Recently, precise indoor tracking has started to become important for Augmented and Virtual reality as it is necessary to allow positioning of a
arXiv:1912.04384v1
fatcat:dkvekwqhwneq7j77xu45mnbf4q