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Visual Form 2001
This book constitutes the refereed proceedings of the 4th International Workshop on Visual Form, IWVF-4, held in Capri, Italy, in May 2001. The 66 revised full papers presented together with seven invited papers were carefully reviewed and selected from 117 submissions. The book covers theoretical and applicative aspects of visual form processing. The papers are organized in topical sections on representation, analysis, recognition, modelling and retrieval, and applications.
Robert Bosch GmbH Patent Landscape Analysis – January 1, 1994 to December 31, 2013
The following analysis illustrates the underlying trends and relationships of U.S. issued patents of the subject company. The analysis employs two frequently used patent classification methods: US Patent Classification (UPC) and International Patent Classification (IPC). Aside from assisting patent examiners in determining the field of search for newly submitted patent applications, the two classification methods play a pivotal role in the characterization and analysis of technologies contained in collections of patent data. The analysis also includes the company’s most prolific inventors, top cited patents as well as foreign filings by technology area.
Mustererkennung 1999
Die DAGM '99 steht unter dem Thema "Interpretation natürlicher Szenen: Von der medizinischen Bildverarbeitung bis zur Fernerkundung". Dieses Motto greift aktuelle Entwicklungen in der Mustererkennung auf, intelligente Datenanalyse für große Datensätze zu betreiben und damit der Wissensgesellschaft neuartige Analysewerkzeuge für natürliche Szenen, aber auch für Data Mining zur Verfügung zu stellen. Im Tagungsband finden sich sowohl neue Entwicklungen auf dem Gebiet der Grundlagenforschung als auch interessante Anwendungen aus allen Bereichen der Mustererkennung wieder, wobei neben der Sprachverarbeitung vor allem Beiträge zu statistischen Verfahren, zur Analyse von Bildfolgen und zur Rekonstruktion der 3D-Geometrie aus Bildern dominieren.
Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021
Dieser Tagungsband enthält die Beiträge des 31. Workshop Computational Intelligence. Die Schwerpunkte sind Methoden, Anwendungen und Tools für Fuzzy-Systeme, Künstliche Neuronale Netze, Evolutionäre Algorithmen und Data-Mining-Verfahren sowie der Methodenvergleich anhand von industriellen und Benchmark-Problemen. - The proceedings of the 31st Workshop on Computational Intelligence focus on methods, applications, and tools for fuzzy systems, artificial neural networks, deep learning, system identification, and data mining techniques.
Fourth IEEE Southwest Symposium on Image Analysis and Interpretation
From down where the computer--or at least the computer images--are bigger than elsewhere, 59 papers cover segmentation; stereo image analysis; multiresolution, multispectral, and multidimensional analysis; biomedical and color image analysis; and features and invariants. Texts of the two keynotes are not included. A large poster session generated papers on such topics as a neural network approach to geographic image analysis, determining camera position through the Karhunen-Loeve transform, the efficient indexing of multi-color sets for content-based image retrieval, characterizing skin lesion texture in diffuse reflectance spectroscopic images, the knowledge-based extraction of roads from satellite images with one-meter resolution, detecting seat occupation inside vehicles, and segmentation by color space transformation prior to lifting and integer wavelet transformation for efficient lossless coding and transmission. Only authors are indexed. Annotation copyrighted by Book News, Inc., Portland, OR.
Mustererkennung 1996
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Uncertain Projective Geometry
Algebraic projective geometry, with its multilinear relations and its embedding into Grassmann-Cayley algebra, has become the basic representation of multiple view geometry, resulting in deep insights into the algebraic structure of geometric relations, as well as in efficient and versatile algorithms for computer vision and image analysis. This book provides a coherent integration of algebraic projective geometry and spatial reasoning under uncertainty with applications in computer vision. Beyond systematically introducing the theoretical foundations from geometry and statistics and clear rules for performing geometric reasoning under uncertainty, the author provides a collection of detailed algorithms. The book addresses researchers and advanced students interested in algebraic projective geometry for image analysis, in statistical representation of objects and transformations, or in generic tools for testing and estimating within the context of geometric multiple-view analysis.
