Motion estimation for highly dynamic phenomena such as smoke is an open challenge for Computer Vision. Traditional dense motion estimation algorithms have difficulties with non-rigid and large motions, both of which are frequently observed in smoke motion. We propose an algorithm for dense motion estimation of smoke. Our algorithm is robust, fast, and has better performance over different types...

Most recent works in optical flow extraction focus on the accuracy and neglect the time complexity. However, in real-life visual applications, such as tracking, activity detection and recognition, the time complexity is critical. We propose a solution with very low time complexity and competitive accuracy for the computation of dense optical flow. It consists of three parts: 1) inverse search f...

Metamorphosis is generally known as the continuous evolution of a source into a target. There is frame-to-frame camera or object motion most of the time when either the source or the target is an image sequence. It would be desirable to make smooth morphing transitions simultaneously along with the original motion. In this paper, we describe a novel semi-automatic morphing technique for image s...

Dense Medium Cyclone is a high capacity device that is widely used in coal preparation. It is simple in design but the swirling turbulent flow, the presence of medium and coal with different density and size fraction and the presence of the air-core make the flow pattern in DMCs complex. In this article the flow pattern simulation of DMC is performed with computational fluid dynamics and Fluent...

We present a dense visualization of vector fields on multi-layered surfaces. The method is based on the illustration buffer, which provides a screen space representation of the surface, where each pixel stores a list of all surface layers. This representation is implemented on the GPU using shaders and leads to a fast, output sensitive technique. In our approach, we first use procedural noise t...

In this thesis, transport of interacting particles is studied in two different physical systems. In the first part, a model for interfacial growth driven by general transport processes is proposed to generalize Laplacian growth such as diffusion-limited aggregation (DLA) and viscous fingering. The fractal properties, crossover in morphology, and relation between continuous and stochastic growth...

Abstract. While image registration has been studied in different areas of computer vision, aligning images depicting different scenes remains a challenging problem, closer to recognition than to image matching. Analogous to optical flow, where an image is aligned to its temporally adjacent frame, we propose SIFT flow, a method to align an image to its neighbors in a large image collection consi...

a Procter & Gamble Co., Cincinnati, OH, USA b Department of Chemical Engineering, University of Delaware, Newark, DE, USA c International Fine Particle Research Institute, Wilmington, DE, USA d Department of Physics, Center for Nonlinear and Complex Systems, Duke University, Durham, NC, USA e Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA, USA f Departm...

Title of thesis: DISTRIBUTED FLOW OPTIMIZATION IN DENSE WIRELESS NETWORKS Sina Zahedpour Anaraki, Master of Science, 2011 Thesis directed by: Dr. Mehdi Kalantari Department of Electrical and Computer Engineering Due to large number of variables, optimizing information flow in a dense wireless network using discrete methods can be computationally prohibitive. Instead of treating the nodes as dis...