Machine Learning and Image Interpretation

Terry Caelli, Walter F. Bischof (Autoren)

Buch | Hardcover

423 Seiten

1997
Kluwer Academic/Plenum Publishers (Verlag)
978-0-306-45761-6 (ISBN)

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In this groundbreaking new volume, computer researchers discuss the development of technologies and specific systems that can interpret data with respect to domain knowledge. Although the chapters each illuminate different aspects of image interpretation, all utilize a common approach - one that asserts such interpretation must involve perceptual learning in terms of automated knowledge acquisition and application, as well as feedback and consistency checks between encoding, feature extraction, and the known knowledge structures in a given application domain. The text is profusely illustrated with numerous figures and tables to reinforce the concepts discussed.

1 An Overview and Perspective of Image Interpretation.- 2 Fuzzy Conditional Rule Generation for the Learning and Recognition of 3D Objects from 2D Images.- 3 Relational Evidence Theory and Interpreting Schematics.- 4 Cite—Scene Understanding and Object Recognition.- 5 See++: An Object Oriented Theory of Task Specific Vision.- 6 SOO-PIN: Picture Interpretation Networks.- 7 Invariance Signatures for Two-Dimensional Contours.- 8 ABC: Biologically Motivated Image Understanding.- References.- Author Index.

Erscheint lt. Verlag	30.11.1997
Reihe/Serie	Advances in Computer Vision and Machine Intelligence
Zusatzinfo	XXIV, 423 p.
Verlagsort	New York
Sprache	englisch
Maße	156 x 234 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik ► Elektrotechnik / Energietechnik
ISBN-10	0-306-45761-X / 030645761X
ISBN-13	978-0-306-45761-6 / 9780306457616
Zustand	Neuware