Abstract
In this paper, we present a new method for line segments matching for indoor reconstruction. Instead of matching individual segments via a descriptor like most methods do, we match segment chains that have a distinctive topology using a dynamic programing formulation. Our method relies solely on the geometric layout of the segment chain and not on photometric or color profiles. Our tests showed that the presented method is robust and manages to produce calibration information even under a drastic change of viewpoint.
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Draréni, J., Keriven, R., Marlet, R. (2011). Indoor Calibration Using Segment Chains. In: Mester, R., Felsberg, M. (eds) Pattern Recognition. DAGM 2011. Lecture Notes in Computer Science, vol 6835. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23123-0_8
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DOI: https://doi.org/10.1007/978-3-642-23123-0_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23122-3
Online ISBN: 978-3-642-23123-0
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