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Cited by 821Visual perception and processing mechanismsAdvanced Vision and ImagingPhilosophy and Theoretical Science

Vision: A Computational Investigation into the Human Representation and Processing of Visual Information

Marr, David·2010·The MIT Press eBooks
DOI 10.7551/mitpress/9780262514620.001.0001
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Abstract

Available again, an influential book that offers a framework for understanding visual perception and considers fundamental questions about the brain and its functions. 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 c…

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  • Meta-learning can be used to build more biologically plausible learning algorithms and can act as a bridge between Marr's computational and implementational levels.

    “Both of these examples demonstrate that meta-learning can be used to build more biologically plausible learning algorithms, and thereby highlight that it can act as a bridge between Marr's computational and implementational level (Marr, 2010).”

    From Meta-learned models of cognition (2024) · cites this paper as Marr, 2010

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Authors
Marr, D.
Corresponding author
Marr, David
Venue
The MIT Press eBooks
Publisher
The MIT Press
Published
2010-07-09
DOI
10.7551/mitpress/9780262514620.001.0001
OpenAlex
W4246233237
Cited by
821
References
0
Citations by year
2026: 87 · 2025: 123 · 2024: 90 · 2023: 78 · 2022: 86 · 2021: 41 · 2020: 27 · 2019: 44 · 2018: 27 · 2017: 25 · 2016: 14 · 2015: 27 · 2014: 26 · 2013: 15 · 2012: 6
FWCI
7.72
Type
book
Language
en
Open access
closed
Locations
The MIT Press eBooks (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
Keywords
visual perception, David Marr, levels of analysis, computational theory of vision, visual representation, 3D object recognition, brain function, computational neuroscience, cognitive science, history of vision research

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