Structure From Recurrent Motion: From Rigidity to Recurrency
Xiu Li, Hongdong Li, Hanbyul Joo, Yebin Liu, Yaser Sheikh
Abstract
This paper proposes a new method for Non-rigidstructure-from-motion (NRSfM). Departing significantlyfrom the traditional idea of using linear low-order shapemodel for NRSfM, our method exploits the property of shaperecurrence (i.e. many dynamic shapes tend to repeat them-selves in time). We show that recurrency is in fact agen-eralized rigidity. Based on this, we show how to reduceNRSfM problems to rigid ones, provided that the recurrencecondition is satisfied. Given such a reduction, standardrigid-SFM techniques can be applied directly (without anychange) to reconstruct the non-rigid dynamic shape. To im-plement this idea as a practical approach, this paper de-velops efficient and reliable algorithm for automatic recur-rence detection, as well as new method for camera viewsclustering via rigidity-check. Experiments on both syntheticsequences and real data demonstrate the effectiveness of theproposed method. Since the method provides novel perspec-tive to look at Structure-from-Motion, we hope it will inspireother new researches in the field.
BibTeX
@inproceedings{cvpr2018_structurefromrec,
title = {Structure From Recurrent Motion: From Rigidity to Recurrency},
author = {Xiu Li and Hongdong Li and Hanbyul Joo and Yebin Liu and Yaser Sheikh},
booktitle = {CVPR 2018},
year = {2018}
}