7,844 research outputs found
Tracking Objects with the Chan-Vese Algorithm
No full textThis report describes an initial study on tracking that was done to understand the feasibility of using the Chan-Vese segmentation algorithm as a basis for a tracking algorithm. In the study we consider a simple tracking algorithm, which can be described as sequential segmentation. We apply the ChanVese algorithm to each frame of video, using the final segmentation contour of one frame as the initial contour of the next. We consider video sequences with relatively low frame rate. This minimal tracking algorithm performed well, under limited conditions, and shows promise as a basis for a more comprehensive tracking algorithm
Completely Convex Formulation of the Chan-Vese Image Segmentation Model
No full textThe active contours without edges model of Chan and Vese (IEEE Transactions on Image Processing 10(2):266-277, 2001) is a popular method for computing the segmentation of an image into two phases, based on the piecewise constant Mumford-Shah model. The minimization problem is non-convex even when the optimal region constants are known a priori. In (SIAM Journal of Applied Mathematics 66(5):1632-1648, 2006), Chan, Esedolu, and Nikolova provided a method to compute global minimizers by showing that solutions could be obtained from a convex relaxation. In this paper, we propose a convex relaxation approach to solve the case in which both the segmentation and the optimal constants are unknown for two phases and multiple phases. In other words, we propose a convex relaxation of the popular K-means algorithm. Our approach is based on the vector-valued relaxation technique developed by Goldstein et al. (UCLA CAM Report 09-77, 2009) and Brown et al. (UCLA CAM Report 10-43, 2010). The idea is to consider the optimal constants as functions subject to a constraint on their gradient. Although the proposed relaxation technique is not guaranteed to find exact global minimizers of the original problem, our experiments show that our method computes tight approximations of the optimal solutions. Particularly, we provide numerical examples in which our method finds better solutions than the method proposed by Chan et al. (SIAM Journal of Applied Mathematics 66(5):1632-1648, 2006), whose quality of solutions depends on the choice of the initial condition.</p
Marianne Chan: 47th Annual ODU Literary Festival
No full textMarianne Chan grew up in Stuttgart, Germany, and Lansing, Michigan. She is the author of All Heathens (Sarabande Books, 2020), which was the winner of the 2021 GLCA New Writers Award. Her second collection, Leaving Biddle City, was published from Sarabande Books in July of this year. Her poems have appeared in Poetry, Best American Poetry, New England Review, Kenyon Review, Michigan Quarterly Review, and elsewhere. She is an assistant professor of creative writing at Old Dominion University and teaches poetry in the Warren Wilson College MFA program for Writers
Inauguración del XXIII Simposio Román Piña Chan. Zonas Arqueológicas en Contextos Urbanos. <p>XXIII Simposio Román Piña Chan.Zonas Arqueológicas en Contextos Urbanos<p>
No full textEl acto inaugural del XXIII Simposio Román Piña Chan “Zonas arqueológicas en contextos urbanos”, tuvo lugar el 6 de noviembre de 2018, en la Escuela Nacional de Antropología e Historia (ENAH). El Simposio fue inaugurado por el Antrop. Diego Prieto Hernández, Director General del Instituto Nacional de Antropología e Historia, en compañía de otras autoridades del INAH así como investigadores, docentes, alumnos y público en general.</p
Semi-blind image restoration based on Chan-Vese denoising model
No full textA semi-blind image restoration algorithm is proposed based on reduced non-convex approximation of Luminita Vese and Tony Chan's(C-V)denoising model.Compared with C-V denoising model,we modify the fidelity term and add a term on point spread function(PSF).The function depends on two variables: the image function to be restored u and the standard deviation of Gaussian kernel to be estimatedσ. Then the problems consist in solving a system with two coupled equations.Compared with the Leah Bar's semi-blind image restoration model which must solve three coupled equations,our method only needs to solve two equations.Furthermore,the estimation of f by our algorithm is superior to Leah Bar's algorithm. The experimental results demonstrate that the proposed method is effective
FIT Menswear Fashion Show: 1990
No full textFIT student fashion show featuring menswear designs.Menswear 1990. Student designers include: John Shrader, Curt Tornow, Timothy Erkins, Michael Troya, Jazz Ramcheritar, .Dawn Brandl, Nestor Marti, Callory McGee, Tonya Hollingsworth, Julio Rivera, Carlos Molina, Ross Beardsley, Jose Chan, Rosemary Flavia Pinnock, Michael Shaw, Anita Smith, Timothy Sorensen, Tony Chan, Gregory Ma, Hiroko Ito, Produced and directed by John Karl. Staged by Martin Shows Inc. Hair and Make-up styling by Charles Ruffin
Fire Fighting HRM in China's New Global Economy
No full textTony Dundon and Jenny Chan. 2017. "Fire Fighting HRM in China's New Global Economy." Case Study 1.2. Pp. 24-25 in Contemporary Human Resource Management: Texts and Cases, edited by Adrian Wilkinson, Tom Redman, and Tony Dundon. 5th Ed. Harlow, England: Pearson Education
Anyuon Chan
No full textabstract: Anyuon left his village in 1989 during the middle of the night.
“Lost Boys Found” is an ongoing, interdisciplinary project that is collecting, recording and archiving the oral histories of the Lost Boys/Girls of Sudan. The collection is a work-in-progress, seeking to record the oral history of as many Lost Boys/Girls as are willing, and will be used in a future book.Age: 22Region: Bahr al GhazalThis picture and bio was donated to the Lost Boys Found project from The Arizona Lost Boys Cente
Marianne Chan, 46th Annual ODU Literary Festival
No full textMarianne Chan grew up in Stuttgart, Germany, and Lansing, Michigan. After she earned her B.A. in English from Michigan State University, she went on to study poetry at the University of Nevada, Las Vegas, where she earned her MFA.
Marianne is the author of All Heathens, which was the winner of the 2021 GLCA New Writers Award in Poetry, the 2021 Ohioana Book Award in Poetry, and the 2022 Association for Asian American Studies Book Award for Outstanding Achievement. Her poems have appeared in Poetry Magazine, New England Review, Kenyon Review, Michigan Quarterly Review, and elsewhere. Between 2017-2019, she served as poetry editor for Split Lip Magazine. She is a Kundiman fellow.
She lives in Norfolk, Virginia . She is married to the fiction writer Clancy McGilligan
A good image model eases restoration - on the contribution of Rudin-Osher-Fatmi's BV image model
No full textWhat we believe images are determines how we take actions in image and low-level vision analysis. In the Bayesian framework, it is known as the importance of a good image prior model. This paper intends to give a concise overview on the vision foundation, mathematical theory, computational algorithms, and various classical as well as unexpected new applications of the BV (bounded variation) image model, first introduced into image processing by Rudin, Osher, and Fatemi in 1992 [Physica D, 60:259-268].Chan, Tony F.; Shen, Jianhong. (2002). A good image model eases restoration - on the contribution of Rudin-Osher-Fatmi's BV image model. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/3720
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