Scene flow estimation based on adaptive anisotropic total variation flow-driven method
type: Item
instance of: scholarly article
title: Scene flow estimation based on adaptive anisotropic total variation flow-driven method
zbMATH Open document ID: 1427.68343
DOI: 10.1155/2018/4908273
author: Xuezhi Xiang
author: Rongfang Zhang
author: Mingliang Zhai
author: Deguang Xiao
author: Er-wei Bai
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: Scene flow estimation based on disparity and optical flow is a challenging task. We present a novel method based on adaptive anisotropic total variation flow-driven method for scene flow estimation from a calibrated stereo image sequence. The basic idea is that diffusion of flow field in different directions has different rates, which can be used to calculate total variation and anisotropic diffusion automatically. Brightness consistency and gradient consistency constraint are employed to establish the data term, and adaptive anisotropic flow-driven penalty constraint is employed to establish the smoothness term. Similar to the optical flow estimation, there are also large displacement problems in the estimation of the scene flow, which is solved by introducing a hierarchical computing optimization. The proposed method is verified by using the synthetic dataset and the real scene image sequences. The experimental results show the effectiveness of the proposed algorithm.
Mathematics Subject Classification ID: 68U10
Mathematics Subject Classification ID: 68T45
zbMATH DE Number: 7019042
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2018/4908273
OpenAlex ID: W2803762938
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Wikidata QID: Q129775305
description: scientific article; zbMATH DE number 7019042