Efficient Global Point Cloud Registration by Matching Rotation Invariant Features Through Translation Search

Three-dimensional rigid point cloud registration has many applications in computer vision and robotics. Local methods tend to fail, causing global methods to be needed, when the relative transformation is large or the overlap ratio is small... (read more)

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