Computer Vision

Statistical Models for Marr's Paradigm

Song-Chun Zhu, Ying Nian Wu (Autoren)

Buch | Hardcover

XIV, 357 Seiten

2023
Springer International Publishing (Verlag)
978-3-030-96529-7 (ISBN)

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As the first book of a three-part series, this book is offered as a tribute to pioneers in vision, such as Béla Julesz, David Marr, King-Sun Fu, Ulf Grenander, and David Mumford. The authors hope to provide foundation and, perhaps more importantly, further inspiration for continued research in vision. This book covers David Marr's paradigm and various underlying statistical models for vision. The mathematical framework herein integrates three regimes of models (low-, mid-, and high-entropy regimes) and provides foundation for research in visual coding, recognition, and cognition. Concepts are first explained for understanding and then supported by findings in psychology and neuroscience, after which they are established by statistical models and associated learning and inference algorithms. A reader will gain a unified, cross-disciplinary view of research in vision and will accrue knowledge spanning from psychology to neuroscience to statistics.

Song-Chun Zhu is Professor at University of California, Research Areas: Computer Vision, Statistical Modeling & Computing, Cognition, Machine Learning,Natural Language and Dialogue, AI, Robot Autonomy.

Ying Nian Wu, University of California, Research interests: generative models, representation learning, unsupervised learning, computer vision, computational neuroscience, bioinformatics.

Preface.- About the Authors.- 1 Introduction.- 2 Statistics of Natural Images.- 3 Textures.- 4 Textons.- 5 Gestalt Laws and Perceptual Organizations.- 6 Primal Sketch: Integrating Textures and Textons.- 7 2.1D Sketch and Layered Representation.- 8 2.5D Sketch and Depth Maps.- 9 Learning about information Projection.- 10 Informing Scaling and Regimes of Models.- 11 Deep Images and Models.- 12 A Tale of Three Families: Discriminative, Generative and Descriptive Models.- Bibliography

Erscheinungsdatum	17.03.2023
Zusatzinfo	XIV, 357 p. 187 illus., 158 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	715 g
Themenwelt	Mathematik / Informatik ► Informatik
Schlagworte	2.1D sketch, 2.5D sketch • deep probabilistic models • Depth Maps • discriminative, descriptive, generative models • FRAME Models • Gestalt laws • Markov Random Fields • natural images • Perceptual Organization • primal sketch • sparse coding • textons • Textures
ISBN-10	3-030-96529-5 / 3030965295
ISBN-13	978-3-030-96529-7 / 9783030965297
Zustand	Neuware