| 书目名称 | Computer Vision | | 副标题 | Statistical Models f | | 编辑 | Song-Chun Zhu,Ying Nian Wu | | 视频video | | | 概述 | covers Marr’s paradigm for vision and underlying statistical models for various concepts in vision.cross-disciplinary, spanning from psychology to neuroscience to statistics.intended as inspiration fo | | 图书封面 |  | | 描述 | 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. . | | 出版日期 | Textbook 2023 | | 关键词 | FRAME Models; Natural images; textures; textons; Gestalt laws; perceptual organization; primal sketch; 2; 1D | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-96530-3 | | isbn_softcover | 978-3-030-96532-7 | | isbn_ebook | 978-3-030-96530-3 | | copyright | Springer Nature Switzerland AG 2023 |
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发表于 2025-3-21 18:03:01
