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Titlebook: Computer Vision; Statistical Models f Song-Chun Zhu,Ying Nian Wu Textbook 2023 Springer Nature Switzerland AG 2023 FRAME Models.Natural ima

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樓主
發(fā)表于 2025-3-21 18:03:01 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computer Vision
副標(biāo)題Statistical Models f
編輯Song-Chun Zhu,Ying Nian Wu
視頻videohttp://file.papertrans.cn/234/233996/233996.mp4
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
圖書封面Titlebook: Computer Vision; Statistical Models f Song-Chun Zhu,Ying Nian Wu Textbook 2023 Springer Nature Switzerland AG 2023 FRAME Models.Natural ima
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
關(guān)鍵詞FRAME Models; Natural images; textures; textons; Gestalt laws; perceptual organization; primal sketch; 2; 1D
版次1
doihttps://doi.org/10.1007/978-3-030-96530-3
isbn_softcover978-3-030-96532-7
isbn_ebook978-3-030-96530-3
copyrightSpringer Nature Switzerland AG 2023
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 20:13:15 | 只看該作者
Introduction, based most fundamentally on statistical properties discovered for natural images over the past several decades. Similar to models in physics, models are advanced based on empirical grounds, such as discovering additional patterns in data. In this way, models stay free of bias.
板凳
發(fā)表于 2025-3-22 02:11:05 | 只看該作者
地板
發(fā)表于 2025-3-22 08:24:54 | 只看該作者
Primal Sketch: Integrating Textures and Textons,ssing, Marr went a step further and asked for a token representation which he named “primal sketch” as a perceptually lossless conversion from the raw image. He tried to reconstruct the image with zero-crossings unsuccessfully and his effort was mostly limited by the lack of proper models of texture.
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發(fā)表于 2025-3-22 09:12:16 | 只看該作者
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發(fā)表于 2025-3-22 16:10:23 | 只看該作者
Textbook 2023renander, 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 reg
7#
發(fā)表于 2025-3-22 17:24:52 | 只看該作者
ogy to neuroscience to statistics.intended as inspiration foAs 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 impo
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發(fā)表于 2025-3-23 00:27:44 | 只看該作者
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發(fā)表于 2025-3-23 03:52:35 | 只看該作者
The deformation theory and applications,ssing, Marr went a step further and asked for a token representation which he named “primal sketch” as a perceptually lossless conversion from the raw image. He tried to reconstruct the image with zero-crossings unsuccessfully and his effort was mostly limited by the lack of proper models of texture.
10#
發(fā)表于 2025-3-23 07:16:15 | 只看該作者
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