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Translation Volume: 3269 words Completed: Oct 2006 Languages: Spanish to English
Translation of a Computer Sciences paper "Skeletonization of Sparse Shapes..."
This paper proposes a new skeletonization strategy applicable to sparse images from a competitive, dynamic neural network trained with the AVGSOM method. The strategy developed in this paper determines the arc making up the skeleton combining AVGSOM non-supervised learning with a minimum spanning tree
Computers (general)
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Sample translations submitted: 1
English to Spanish: Gestalt Theory and Computer Vision
Source text - English Abstract
In the Wertheimer programme there are two kinds of organizing laws. The first kind are grouping laws which, starting from atomic and local data, recursively construct larger groups in the perceived image. Each grouping law focuses on a single quality (color, shape, direction, …). The second kind are principles governing the collaboration and conflicts of gestalt laws. We explain why and how the Wertheimer programme can be translated into a Computer Vision programme. This translation is not straightforward, since Gestalt theory did not address two fundamental matters: image sampling and image information measurements. Using them, we show that a quantitive version of Kanizsa’s “masking in texture” can lead to numerical simulations of several grouping laws. As illustration, we display numerical experiments on several digital images. Analyzing successes and failures of these experiments, we conclude that Computer Vision is currently facing exactly the same challenges as were as were discussed in Gestalt theory, namely the collaboration and conflicts between grouping laws, and the masking issue.
1 Introduction
The geometric Gestalt theory started in 1921 with Max Wertheimer’s founding paper [31. In its 1975 last edition, the Gestalt Bible Gesetze des Sehens by Wolfgang Metzer [22 gave a broad overview of the results of a fifty years research. At about the same date, Computer Vision was an emerging new discipline, at the meeting point of Artificial Intelligence and Robotics. The foundation of signal sampling theory by Claude Shannon [28 was already twenty years old, but computers were able to deal with images with some efficiency only at the beginning of the seventies. Two things are noticeable:
Translation - Spanish Resumen
El programa Wertheimer presenta dos tipos de leyes de organización. El primer tipo consiste de leyes de agrupamiento que, a partir de datos atómicos y locales, construyen recursivamente grupos más grandes en la imagen que se percibe. Cada grupo de leyes se centra en una cualidad individual (color, forma, dirección, etc.). El segundo tipo presenta los principios que gobiernan la colaboración y los conflictos de las leyes gestálticas. Explicaremos por qué y cómo el programa Wertheimer puede ser traducido en un programa de Visión Computacional. Esta traducción no es directa debido a que la teoría de la Gestalt no trató dos temas fundamentales: las mediciones de la información de la imagen y del muestreo de imágenes. Cuando empleamos estas dos cuestiones, demostramos que una versión cuantitativa del enmascaramiento de la textura de Kanizsa puede conducir a simulaciones numéricas de varias leyes de agrupamiento. Como ejemplo presentamos experimentos numéricos en varias imágenes digitales. Luego de analizar los aciertos y las fallas de estos experimentos, concluiremos que la Visión Computacional afronta los mismos desafíos que aquellos discutidos en la teoría de la Gestalt, en particular la colaboración y los conflictos entre las leyes de agrupamiento y el tema del enmascaramiento.
1. Introducción
La teoría geométrica de la Gestalt surge en 1921 con el trabajo de Max Wertheimer [31. En la última edición de 1975, la “Biblia” de la teoría de Gestalt Gesetze des Sehens de Wolfgang Metzer [22 ofreció una buena descripción de los resultados de la investigación realizada a lo largo de cincuenta años. Aproximadamente en el mismo momento, la Visión Computacional emergió como una nueva disciplina, en un punto de encuentro con la Inteligencia Artificial y la Robótica. La base de la teoría de muestreo de señales de Claude Shannon [22 ya tenía veinte años, pero las computadoras recién fueron capaces de tratar imágenes con algo de eficiencia a principios de 1970. Se pueden apreciar dos puntos:...
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Translation education
Bachelor's degree - National University of La Plata, Buenos Aires, Argentina
Experience
Years of experience: 24. Registered at ProZ.com: Feb 2003.
English to Spanish (Official University degree (BA) - UNLP ) Spanish to English (Official University degree (BA) - UNLP )
Memberships
N/A
Software
Adobe Acrobat, Adobe Illustrator, Adobe Photoshop, Dreamweaver, Frontpage, Fusion, Microsoft Excel, Microsoft Office Pro, Microsoft Word, Powerpoint, Trados Studio
I have professional experience in translating texts from English to Spanish and vice versa, in the fields mostly related to technical-scientific subject matters. I worked at The Institute of Research in Computer Sciences (III-LIDI) of the School of Computer Sciences, at the National University of La Plata, Argentina, for seven years. My job there involved both providing linguistic assistance to professionals in Computer Sciences, IT, Telecommunications, etc., and translating their research papers and presentations.
At present, I have widened my experience in translating texts from other fields, specially Legal, Economics, Psychology, Tourism, Medicine, and Music.
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