This paper proposes a new approach for monocular dense 3D reconstruction of a
complex dynamic scene from two perspective frames. By applying superpixel
over-segmentation to the image, we model a generically dynamic (hence
non-rigid) scene with a piecewise planar and rigid approximation. In this way,
we reduce the dynamic reconstruction problem to a "3D jigsaw puzzle" problem
which takes pieces from an unorganized "soup of superpixels". We show that our
method provides an effective solution to the inherent relative scale ambiguity
in structure-from-motion. Since our method does not assume a template prior, or
per-object segmentation, or knowledge about the rigidity of the dynamic scene,
it is applicable to a wide range of scenarios. Extensive experiments on both
synthetic and real monocular sequences demonstrate the superiority of our
method compared with the state-of-the-art methods.

本文提出了一种新的单目密集三维重建方法，利用超像素过分割模拟动态场景，并减少结构运动中固有的相对尺度模糊问题。经实验表明，该方法在合成和真实单目序列方面相对优于业界最先进的方法。