Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames
Loading...
Date
Authors
Kumar, Suryansh
Dai, Yuchao
Li, Hongdong
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
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.
Description
Keywords
Citation
Collections
Source
Proceedings of the IEEE International Conference on Computer Vision
Type
Book Title
Entity type
Access Statement
License Rights
Restricted until
2099-12-31