Related Experiment Video
Updated: Jan 27, 2026

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
Published on: February 27, 2016
An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation
Berkay Kanberoglu1, Dhritiman Das2, Priya Nair3
1School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, 85281, USA.
Abstract:
Three-dimensional (3D) biomedical image sets are often acquired with in-plane pixel spacings that are far less than the out-of-plane spacings between images. The resultant anisotropy, which can be detrimental in many applications, can be decreased using image interpolation. Optical flow and/or other registration-based interpolators have proven useful in such interpolation roles in the past. When acquired images are comprised of signals that describe the flow velocity of fluids, additional information is available to guide the interpolation process. In this paper, we present an optical-flow based framework for image interpolation that also minimizes resultant divergence in the interpolated data.
Related Concept Videos
Reconstruction of Signal using Interpolation
Divergence and Curl
Divergence and Stokes' Theorems
Gene Duplication and Divergence
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
Model Approaches for Pharmacokinetic Data: Compartment Models
Two primary types of compartment models are recognized: mammillary and catenary. The more...
Model Approaches for Pharmacokinetic Data: Physiological Models

