Robust Manhattan Frame Estimation From a Single RGB-D Image

CVPR 2015 Bernard GhanemAli ThabetJuan Carlos NieblesFabian Caba Heilbron

This paper proposes a new framework for estimating the Manhattan Frame (MF) of an indoor scene from a single RGB-D image. Our technique formulates this problem as the estimation of a rotation matrix that best aligns the normals of the captured scene to a canonical world axes... (read more)

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