RGB-D 영상을 이용한 실내 레이아웃의 빠른 복원
- RGB-D 영상을 이용한 실내 레이아웃의 빠른 복원
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- This thesis presents a fast recovering method that estimates an indoor layout from a single
RGB-D image of Kinect in a second. We recover the layout, consisting of room structural
objects and cuboid-like objects, by optimizing the combination of axes-aligned cuboids
from candidates. For accelerating, we develop fast polygon extraction method and generate
candidate cuboids based on extracted polygons. With these approaches, a computation
of optimization process is dramatically reduced as acquring a small number of candidate
cuboids. In the optimization step, we formulate the mixed integer programming model
for selecting optimal cuboids that suitably represent the indoor scene. Experimental results
demonstrate that our method recovers the layout fast, also quality of result is reliable.
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