By the same authors

ANISOTROPIC FLUID SOLVER FOR ROBUST OPTICAL FLOW SMOOTHING

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

ANISOTROPIC FLUID SOLVER FOR ROBUST OPTICAL FLOW SMOOTHING. / Doshi, Ashish; Bors, Adrian G.

2009 10TH INTERNATIONAL WORKSHOP ON IMAGE ANALYSIS FOR MULTIMEDIA INTERACTIVE SERVICES. NEW YORK : IEEE, 2009. p. 117-120.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Doshi, A & Bors, AG 2009, ANISOTROPIC FLUID SOLVER FOR ROBUST OPTICAL FLOW SMOOTHING. in 2009 10TH INTERNATIONAL WORKSHOP ON IMAGE ANALYSIS FOR MULTIMEDIA INTERACTIVE SERVICES. IEEE, NEW YORK, pp. 117-120, Quality Matters in Children's Services: Research Overview Launch Conference, CBI Centre Point Tower, London, 8/05/09. https://doi.org/10.1109/WIAMIS.2009.5031446

APA

Doshi, A., & Bors, A. G. (2009). ANISOTROPIC FLUID SOLVER FOR ROBUST OPTICAL FLOW SMOOTHING. In 2009 10TH INTERNATIONAL WORKSHOP ON IMAGE ANALYSIS FOR MULTIMEDIA INTERACTIVE SERVICES (pp. 117-120). NEW YORK: IEEE. https://doi.org/10.1109/WIAMIS.2009.5031446

Vancouver

Doshi A, Bors AG. ANISOTROPIC FLUID SOLVER FOR ROBUST OPTICAL FLOW SMOOTHING. In 2009 10TH INTERNATIONAL WORKSHOP ON IMAGE ANALYSIS FOR MULTIMEDIA INTERACTIVE SERVICES. NEW YORK: IEEE. 2009. p. 117-120 https://doi.org/10.1109/WIAMIS.2009.5031446

Author

Doshi, Ashish ; Bors, Adrian G. / ANISOTROPIC FLUID SOLVER FOR ROBUST OPTICAL FLOW SMOOTHING. 2009 10TH INTERNATIONAL WORKSHOP ON IMAGE ANALYSIS FOR MULTIMEDIA INTERACTIVE SERVICES. NEW YORK : IEEE, 2009. pp. 117-120

Bibtex - Download

@inproceedings{8bcbc38efc354a35905ba81504d7f6e1,
title = "ANISOTROPIC FLUID SOLVER FOR ROBUST OPTICAL FLOW SMOOTHING",
abstract = "Computational fluid dynamics provides the framework for explaining fluid motion. The methodology proposed in this paper applies partial differential equations such as Navier-Stokes for modelling the optical flow in image sequences displaying complex motion. The proposed robust stable fluid solver has the following components: robust diffusion, advection and mass conservation. We employ a robust diffusion kernel which combines the geometry preserving property of the heat kernel with an outlier rejection mechanism. The proposed methodology is applied on the artificially generated Von Karman flows, after considering additive noise, and onto the optical flow extracted from real image sequences.",
author = "Ashish Doshi and Bors, {Adrian G.}",
year = "2009",
doi = "10.1109/WIAMIS.2009.5031446",
language = "English",
isbn = "978-1-4244-3609-5",
pages = "117--120",
booktitle = "2009 10TH INTERNATIONAL WORKSHOP ON IMAGE ANALYSIS FOR MULTIMEDIA INTERACTIVE SERVICES",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - ANISOTROPIC FLUID SOLVER FOR ROBUST OPTICAL FLOW SMOOTHING

AU - Doshi, Ashish

AU - Bors, Adrian G.

PY - 2009

Y1 - 2009

N2 - Computational fluid dynamics provides the framework for explaining fluid motion. The methodology proposed in this paper applies partial differential equations such as Navier-Stokes for modelling the optical flow in image sequences displaying complex motion. The proposed robust stable fluid solver has the following components: robust diffusion, advection and mass conservation. We employ a robust diffusion kernel which combines the geometry preserving property of the heat kernel with an outlier rejection mechanism. The proposed methodology is applied on the artificially generated Von Karman flows, after considering additive noise, and onto the optical flow extracted from real image sequences.

AB - Computational fluid dynamics provides the framework for explaining fluid motion. The methodology proposed in this paper applies partial differential equations such as Navier-Stokes for modelling the optical flow in image sequences displaying complex motion. The proposed robust stable fluid solver has the following components: robust diffusion, advection and mass conservation. We employ a robust diffusion kernel which combines the geometry preserving property of the heat kernel with an outlier rejection mechanism. The proposed methodology is applied on the artificially generated Von Karman flows, after considering additive noise, and onto the optical flow extracted from real image sequences.

U2 - 10.1109/WIAMIS.2009.5031446

DO - 10.1109/WIAMIS.2009.5031446

M3 - Conference contribution

SN - 978-1-4244-3609-5

SP - 117

EP - 120

BT - 2009 10TH INTERNATIONAL WORKSHOP ON IMAGE ANALYSIS FOR MULTIMEDIA INTERACTIVE SERVICES

PB - IEEE

CY - NEW YORK

ER -