Backtracking Regression Forests for Accurate Camera Relocalization

IROS, pp. 6886-6893, 2017.

Cited by: 26|Bibtex|Views38|Links
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Abstract:

Camera relocalization plays a vital role in many robotics and computer vision tasks, such as global localization, recovery from tracking failure, and loop closure detection. Recent random forests based methods directly predict 3D world locations for 2D image locations to guide the camera pose optimization. During training, each tree greed...More

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