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Geophysics --- Data processing. --- Pattern perception. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception

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Pattern perception --- Perception des structures --- Patroonherkenning. --- Périodiques. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception

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The 2nd edition is an update of the book Wavelet Theory and its Application to Pattern Recognition published in 2000. Three new chapters, which are research results conducted during 2001-2008, are added. The book consists of three parts - the first presents a brief survey of the status of pattern recognition with wavelet theory; the second contains the basic theory of wavelet analysis; the third includes applications of wavelet theory to pattern recognition. The new book provides a bibliography of 170 references including the current state-of-the-art theory and applications of wavelet

Wavelets (Mathematics) --- Pattern perception. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Wavelet analysis --- Harmonic analysis --- Pattern perception

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Pattern recognition is a very wide research field. It involves factors as diverse as sensors, feature extraction, pattern classification, decision fusion, applications and others. The signals processed are commonly one, two or three dimensional, the processing is done in real- time or takes hours and days, some systems look for one narrow object class, others search huge databases for entries with at least a small amount of similarity. No single person can claim expertise across the whole field, which develops rapidly, updates its paradigms and comprehends several philosophical approaches. This book reflects this diversity by presenting a selection of recent developments within the area of pattern recognition and related fields. It covers theoretical advances in classification and feature extraction as well as application-oriented works. Authors of these 25 works present and advocate recent achievements of their research related to the field of pattern recognition.

Pattern perception. --- Pattern recognition systems. --- Pattern classification systems --- Pattern recognition computers --- Pattern perception --- Computer vision --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Machine learning

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"Visual Reconstruction presents a unified and highly original approach to the treatment of continuity in vision. It introduces, analyzes, and illustrates two new concepts. The first -- the weak continuity constraint -- is a concise, computational formalization of piecewise continuity. It is a mechanism for expressing the expectation that visual quantities such as intensity, surface color, and surface depth vary continuously almost everywhere, but with occasional abrupt changes. The second concept -- the graduated nonconvexity algorithm -- arises naturally from the first. It is an efficient, deterministic (nonrandom) algorithm for fitting piecewise continuous functions to visual data. The book first illustrates the breadth of application of reconstruction processes in vision with results that the authors' theory and program yield for a variety of problems. The mathematics of weak continuity and the graduated nonconvexity (GNC) algorithm are then developed carefully and progressively."

Pattern perception --- #TELE:MI2 --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pattern perception. --- Engineering & Applied Sciences --- Computer Science --- NEUROSCIENCE/Visual Neuroscience --- COMPUTER SCIENCE/Artificial Intelligence