1 research outputs found
Planar Geometry and Latest Scene Recovery from a Single Motion Blurred Image
Existing works on motion deblurring either ignore the effects of
depth-dependent blur or work with the assumption of a multi-layered scene
wherein each layer is modeled in the form of fronto-parallel plane. In this
work, we consider the case of 3D scenes with piecewise planar structure i.e., a
scene that can be modeled as a combination of multiple planes with arbitrary
orientations. We first propose an approach for estimation of normal of a planar
scene from a single motion blurred observation. We then develop an algorithm
for automatic recovery of a number of planes, the parameters corresponding to
each plane, and camera motion from a single motion blurred image of a
multiplanar 3D scene. Finally, we propose a first-of-its-kind approach to
recover the planar geometry and latent image of the scene by adopting an
alternating minimization framework built on our findings. Experiments on
synthetic and real data reveal that our proposed method achieves
state-of-the-art results