Artículos relacionados a Tensor Voting: A Perceptual Organization Approach to...

Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning (Synthesis Lectures on Image, Video, and Multimedia Processing) - Tapa blanda

 
9783031011146: Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning (Synthesis Lectures on Image, Video, and Multimedia Processing)

Sinopsis

This lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work, since the sequence of the presentation is not in chronological order. It aims at presenting an approach to a wide range of problems in computer vision and machine learning that is data-driven, local and requires a minimal number of assumptions. The tensor voting framework combines these properties and provides a unified perceptual organization methodology applicable in situations that may seem heterogeneous initially. We show how several problems can be posed as the organization of the inputs into salient perceptual structures, which are inferred via tensor voting. The work presented here extends the original tensor voting framework with the addition of boundary inference capabilities; a novel re-formulation of the framework applicable to high-dimensional spaces and the development of algorithms for computer vision and machine learning problems. We show complete analysis for some problems, while we briefly outline our approach for other applications and provide pointers to relevant sources.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Philippos Mordohai received his Diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki, Greece, in 1998. He also received the MS and PhD degrees both in Electrical Engineering from the University of Southern California, Los Angeles, in 2000 and 2005, respectively. He is currently a postdoctoral research associate at the Department of Computer Science of the University of North Carolina in Chapel Hill. His doctoral dissertation work focused on the development of perceptual organization approaches for computer vision and machine learning problems. The topics he has worked on include feature inference in images, figure completion, binocular and multiple-view stereo, instance-based learning, dimensionality estimation, and function approximation. His current research is on the 3D reconstruction of urban environments from multiple video cameras mounted on a moving vehicle. Dr Mordohai is a member of the IEEE and the IEEE Computer Society, reviewer for the Transactions on Pattern Analysis and Machine Intelligence and the Transactions on Neural Networks. He served as chair of local organization for the Third International Symposium on 3D Data Processing, Visualization and Transmission that was held in Chapel Hill in 2006. Gerard Medioni received the Diplome d'Ingenieur Civil from the Ecole Nationale Superieure des Telecommunications, Paris, France, in 1977, and the MS and PhD degrees in Computer Science from the University of Southern California, Los Angeles, in 1980 and 1983, respectively. He has been with the University of Southern California (USC) in Los Angeles, since 1983, where he is currently a professor of Computer Science and Electrical Engineering, codirector of the Computer Vision Laboratory, and chairman of the Computer Science Department. He was a visiting scientist at INRIA Sophia Antipolis in 1993 and Chief Technical Officer of Geometrix, Inc. during his sabbatical leave in 2000. His research interests cover a broad spectrum of the computer vision field and he has studied techniques for edge detection, perceptual grouping, shape description, stereo analysis, range image understanding, image to map correspondence, object recognition, and image sequence analysis. He has published more than 100 papers in conference proceedings and journals. Dr Medioni is a Fellow of the IEEE and a Fellow of the IAPR. He has served on the program committees of many major vision conferences and was program chairman of the 1991 IEEE Computer Vision and Pattern Recognition Conference in Maui, program cochairman of the 1995 IEEE Symposium on Computer Vision held in Coral Gables, Florida, general cochair of the 1997 IEEE Computer Vision and Pattern Recognition Conference in Puerto Rico, program cochair of the 1998 International Conference on Pattern Recognition held in Brisbane, Australia, and general cochairman of the 2001 IEEE Computer Vision and Pattern Recognition Conference in Kauai. Professor Medioni is on the editorial board of the Pattern Recognition and Image Analysis journal and the International Journal of Computer Vision and one of the North American editors for the Image and Vision Computing journal.

"Sobre este título" puede pertenecer a otra edición de este libro.

Comprar nuevo

Ver este artículo

EUR 11,00 gastos de envío desde Alemania a España

Destinos, gastos y plazos de envío

Resultados de la búsqueda para Tensor Voting: A Perceptual Organization Approach to...

Imagen del vendedor

Gérard Medioni
ISBN 10: 3031011147 ISBN 13: 9783031011146
Nuevo Taschenbuch
Impresión bajo demanda

Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work, since the sequence of the presentation is not in chronological order. It aims at presenting an approach to a wide range of problems in computer vision and machine learning that is data-driven, local and requires a minimal number of assumptions. The tensor voting framework combines these properties and provides a unified perceptual organization methodology applicable in situations that may seem heterogeneous initially. We show how several problems can be posed as the organization of the inputs into salient perceptual structures, which are inferred via tensor voting. The work presented here extends the original tensor voting framework with the addition of boundary inference capabilities; a novel re-formulation of the framework applicable to high-dimensional spaces and the development of algorithms for computer vision and machine learning problems. We show complete analysis for some problems, while we briefly outline our approach for other applications and provide pointers to relevant sources. 140 pp. Englisch. Nº de ref. del artículo: 9783031011146

Contactar al vendedor

Comprar nuevo

EUR 35,30
Convertir moneda
Gastos de envío: EUR 11,00
De Alemania a España
Destinos, gastos y plazos de envío

Cantidad disponible: 2 disponibles

Añadir al carrito

Imagen del vendedor

Gérard Medioni
Publicado por Springer International Publishing, 2007
ISBN 10: 3031011147 ISBN 13: 9783031011146
Nuevo Taschenbuch

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work, since the sequence of the presentation is not in chronological order. It aims at presenting an approach to a wide range of problems in computer vision and machine learning that is data-driven, local and requires a minimal number of assumptions. The tensor voting framework combines these properties and provides a unified perceptual organization methodology applicable in situations that may seem heterogeneous initially. We show how several problems can be posed as the organization of the inputs into salient perceptual structures, which are inferred via tensor voting. The work presented here extends the original tensor voting framework with the addition of boundary inference capabilities; a novel re-formulation of the framework applicable to high-dimensional spaces and the development of algorithms for computer vision and machine learning problems. We show complete analysis for some problems, while we briefly outline our approach for other applications and provide pointers to relevant sources. Nº de ref. del artículo: 9783031011146

Contactar al vendedor

Comprar nuevo

EUR 35,30
Convertir moneda
Gastos de envío: EUR 11,99
De Alemania a España
Destinos, gastos y plazos de envío

Cantidad disponible: 1 disponibles

Añadir al carrito

Imagen del vendedor

Mordohai, Philippos|Medioni, Gérard
ISBN 10: 3031011147 ISBN 13: 9783031011146
Nuevo Tapa blanda
Impresión bajo demanda

Librería: moluna, Greven, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work. Nº de ref. del artículo: 608129358

Contactar al vendedor

Comprar nuevo

EUR 32,69
Convertir moneda
Gastos de envío: EUR 19,49
De Alemania a España
Destinos, gastos y plazos de envío

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Imagen de archivo

Mordohai, Philippos; Medioni, Gérard
Publicado por Springer, 2007
ISBN 10: 3031011147 ISBN 13: 9783031011146
Nuevo Tapa blanda

Librería: Books Puddle, New York, NY, Estados Unidos de America

Calificación del vendedor: 4 de 5 estrellas Valoración 4 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. 1st edition NO-PA16APR2015-KAP. Nº de ref. del artículo: 26394683672

Contactar al vendedor

Comprar nuevo

EUR 47,39
Convertir moneda
Gastos de envío: EUR 9,89
De Estados Unidos de America a España
Destinos, gastos y plazos de envío

Cantidad disponible: 4 disponibles

Añadir al carrito

Imagen de archivo

Mordohai, Philippos; Medioni, Gérard
Publicado por Springer, 2007
ISBN 10: 3031011147 ISBN 13: 9783031011146
Nuevo Tapa blanda
Impresión bajo demanda

Librería: Majestic Books, Hounslow, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. Print on Demand. Nº de ref. del artículo: 401726151

Contactar al vendedor

Comprar nuevo

EUR 47,94
Convertir moneda
Gastos de envío: EUR 10,21
De Reino Unido a España
Destinos, gastos y plazos de envío

Cantidad disponible: 4 disponibles

Añadir al carrito

Imagen de archivo

Mordohai, Philippos; Medioni, Gérard
Publicado por Springer, 2007
ISBN 10: 3031011147 ISBN 13: 9783031011146
Nuevo Tapa blanda
Impresión bajo demanda

Librería: Biblios, Frankfurt am main, HESSE, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18394683666

Contactar al vendedor

Comprar nuevo

EUR 49,90
Convertir moneda
Gastos de envío: EUR 14,50
De Alemania a España
Destinos, gastos y plazos de envío

Cantidad disponible: 4 disponibles

Añadir al carrito

Imagen del vendedor

Gérard Medioni
ISBN 10: 3031011147 ISBN 13: 9783031011146
Nuevo Taschenbuch

Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: Neu. Neuware -This lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work, since the sequence of the presentation is not in chronological order. It aims at presenting an approach to a wide range of problems in computer vision and machine learning that is data-driven, local and requires a minimal number of assumptions. The tensor voting framework combines these properties and provides a unified perceptual organization methodology applicable in situations that may seem heterogeneous initially. We show how several problems can be posed as the organization of the inputs into salient perceptual structures, which are inferred via tensor voting. The work presented here extends the original tensor voting framework with the addition of boundary inference capabilities; a novel re-formulation of the framework applicable to high-dimensional spaces and the development of algorithms for computer vision and machine learning problems. We show complete analysis for some problems, while we briefly outline our approach for other applications and provide pointers to relevant sources.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 140 pp. Englisch. Nº de ref. del artículo: 9783031011146

Contactar al vendedor

Comprar nuevo

EUR 35,30
Convertir moneda
Gastos de envío: EUR 35,00
De Alemania a España
Destinos, gastos y plazos de envío

Cantidad disponible: 2 disponibles

Añadir al carrito