Del i serien Lecture Notes in Computer Science

Shape, Contour and Grouping in Computer Vision

Häftad, Engelska, 1999

AvDavid A. Forsyth,Joseph L. Mundy,Vito di Gesu,Roberto Cipolla

719 kr

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This book presents a unique collection of articles on shape, contour and grouping in computer vision. Besides revised versions of research papers originally presented at a workshop, the book contains expository articles introducing the area to a broader audience and surveying the state of the art.The 19 articles presented were carefully reviewed. They are organized in the following sections: introduction; shape; shading; grouping; representation and recognition; and statistics,learning and recognition.

Produktinformation

Utgivningsdatum1999-11-03
Mått156 x 234 x 20 mm
Vikt552 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor350
Upplaga1999
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540667223

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Systemvetenskap och AI inom Data och IT

An Empirical-Statistical Agenda for Recognition.- A Formal-Physical Agenda for Recognition.- Shape.- Shape Models and Object Recognition.- Order Structure, Correspondence, and Shape Based Categories.- Quasi-Invariant Parameterisations and Their Applications in Computer Vision.- Shading.- Representations for Recognition Under Variable Illumination.- Shadows, Shading, and Projective Ambiguity.- Grouping.- Grouping in the Normalized Cut Framework.- Geometric Grouping of Repeated Elements within Images.- Constrained Symmetry for Change Detection.- Grouping Based on Coupled Diffusion Maps.- Representation and Recognition.- Integrating Geometric and Photometric Information for Image Retrieval.- Towards the Integration of Geometric and Appearance-Based Object Recognition.- Recognizing Objects Using Color-Annotated Adjacency Graphs.- A Cooperating Strategy for Objects Recognition.- Statistics, Learning and Recognition.- Model Selection for Two View Geometry:A Review.- Finding Objects by Grouping Primitives.- Object Recognition with Gradient-Based Learning.