Vision - David Marr

Vision

David Marr

出版社

The MIT Press

出版时间

2010-07-08

ISBN

9780262514620

评分

★★★★★
书籍介绍

David Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and touches on broader questions about how the brain and its functions can be studied and understood. Researchers from a range of brain and cognitive sciences have long valued Marr's creativity, intellectual power, and ability to integrate insights and data from neuroscience, psychology, and computation. This MIT Press edition makes Marr's influential work available to a new generation of students and scientists. In Marr's framework, the process of vision constructs a set of representations, starting from a description of the input image and culminating with a description of three-dimensional objects in the surrounding environment. A central theme, and one that has had far-reaching influence in both neuroscience and cognitive science, is the notion of different levels of analysis--in Marr's framework, the computational level, the algorithmic level, and the hardware implementation level. Now, thirty years later, the main problems that occupied Marr remain fundamental open problems in the study of perception. Vision provides inspiration for the continuing efforts to integrate knowledge from cognition and computation to understand vision and the brain.

目录
Detailed Contents
Foreword by Shimon Ullman xvii
Preface xxiii
PART I
INTRODUCTION AND

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用户评论
读了著名的第一章。相见恨晚,这本书应该是认知神经入门的必读书目啊。
不是计算机科学的,后面看不太懂,至少第一章是值得所有人看的。
在这个数据可以轻易获得的时代,Marr的three levels of analysis值得拿来反复咀嚼。
landmark
以客体理解主体,在造AI的过程中尝试理解人类(什么叫大棋)。虽然不认同Mind可以简化为数理逻辑建构:1. 人类思维本身的局限;2. 无意识/直觉/联觉/直观可能没法“算”出来,至少没法走流程“算”出来。也许在20世纪,把大脑类比成信息处理系统是自然而然的事。21世纪能不能把集体意识类比成互联网呢。未来说不定还能类比成时光机呢。毕竟人类只能靠自己的心智来理解自己。
Good research should be like this. It envisioned and established a field that would prosper 30 years later. Research is for the next generation, not only for today.
2022.3在读。用deepl翻译艰难阅读中。。有些认知科学和生物学知识
真牛逼!!! 秒杀所有turing奖获得者!
被设问体系吸住,又同时被解构结构压制。要重啃,再重啃。
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