Data Structures, Computer Graphics, and Pattern Recognition focuses on the computer graphics and pattern recognition applications of data structures methodology. This book presents design related principles and research aspects of the computer graphics, system design, data management, and pattern recognition tasks. The topics include the data structure design, concise structuring of geometric data for computer aided design, and data structures for pattern recognition algorithms. The survey of data structures for computer graphics systems, application of relational data structures in computer graphics, and observations on linguistics for scene analysis are also elaborated. This text likewise covers the design of satellite graphics systems, interactive image segmentation, surface representation for computer aided design, and error-correcting parsing for syntactic pattern recognition. This publication is valuable to practitioners in data structures, particularly those who are applying real computer systems to problems involving image, speech, and medical data.

This book constitutes the refereed proceedings of the 6th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2007, held in Alicante, Spain in June 2007. The 23 revised full papers and 14 revised poster papers presented were carefully reviewed and selected from 54 submissions. The papers are organized in topical sections on matching, distances and measures, graph-based segmentation and image processing, graph-based clustering, graph representations, pyramids, combinatorial maps and homologies, as well as graph clustering, embedding and learning.

Pattern Recognition and Artificial Intelligence contains the proceedings of the Joint Workshop on Pattern Recognition and Artificial Intelligence held in Hyannis, Massachusetts, on June 1-3, 1976. The papers explore developments in pattern recognition and artificial intelligence and cover topics ranging from scene analysis and data structure to syntactic methods, biomedicine, speech recognition, game-playing programs, and computer graphics. Grammar inference methods, image segmentation and interpretation, and relational databases are also discussed. This book is comprised of 29 chapters and begins with a description of a data structure that can learn simple programs from training samples. The reader is then introduced to the syntactic parts of pattern recognition systems; methods for multidimensional grammatical inference; a scene analysis system capable of finding structure in outdoor scenes; and a language called DEDUCE for relational databases. A sculptor's studio-like environment, in which the ""sculptor"" can create complex three-dimensional objects in the computer similar to molding a piece of clay in the machine, is also described. The remaining chapters focus on statistical and structural feature extraction; use of maximum likelihood functions for recognition of highly variable line drawings; region extraction using boundary following; and interactive screening of reconnaissance imagery. This monograph will be of interest to engineers, graduate students, and researchers in the fields of pattern recognition and artificial intelligence.