Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
E899002
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information is a seminal 1982 book by David Marr that laid the foundations of computational neuroscience and modern theories of visual perception.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Vision: A Computational Investigation into the Human Representation and Processing of Visual Information canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11002773 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Vision: A Computational Investigation into the Human Representation and Processing of Visual Information Context triple: [David Marr, notableWork, Vision: A Computational Investigation into the Human Representation and Processing of Visual Information]
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A.
The Psychology of Computer Vision (edited volume)
The Psychology of Computer Vision is an influential edited volume, compiled by Patrick Henry Winston, that brings together foundational research exploring how principles of human perception and cognition can inform and advance computer vision.
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B.
On Vision and Colors
On Vision and Colors is Arthur Schopenhauer’s early philosophical treatise that expands and critiques Goethe’s color theory by offering a metaphysical and physiological account of human color perception.
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C.
Gibsonian theory of perceptual learning
The Gibsonian theory of perceptual learning is a psychological framework proposing that perception improves through direct interaction with the environment, as individuals learn to detect increasingly subtle and useful information (or "invariants") in sensory input without relying on internal representations.
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D.
Learning to See by Moving
"Learning to See by Moving" is a research work in computer vision that explores how visual understanding can emerge from an agent’s own movement and interaction with the environment, rather than from static images alone.
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E.
Readings in Information Visualization: Using Vision to Think
Readings in Information Visualization: Using Vision to Think is an influential anthology that compiles foundational research and key perspectives on how visual representations support human thinking and data analysis in the field of information visualization.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Vision: A Computational Investigation into the Human Representation and Processing of Visual Information Target entity description: Vision: A Computational Investigation into the Human Representation and Processing of Visual Information is a seminal 1982 book by David Marr that laid the foundations of computational neuroscience and modern theories of visual perception.
-
A.
The Psychology of Computer Vision (edited volume)
The Psychology of Computer Vision is an influential edited volume, compiled by Patrick Henry Winston, that brings together foundational research exploring how principles of human perception and cognition can inform and advance computer vision.
-
B.
On Vision and Colors
On Vision and Colors is Arthur Schopenhauer’s early philosophical treatise that expands and critiques Goethe’s color theory by offering a metaphysical and physiological account of human color perception.
-
C.
Gibsonian theory of perceptual learning
The Gibsonian theory of perceptual learning is a psychological framework proposing that perception improves through direct interaction with the environment, as individuals learn to detect increasingly subtle and useful information (or "invariants") in sensory input without relying on internal representations.
-
D.
Learning to See by Moving
"Learning to See by Moving" is a research work in computer vision that explores how visual understanding can emerge from an agent’s own movement and interaction with the environment, rather than from static images alone.
-
E.
Readings in Information Visualization: Using Vision to Think
Readings in Information Visualization: Using Vision to Think is an influential anthology that compiles foundational research and key perspectives on how visual representations support human thinking and data analysis in the field of information visualization.
- F. None of above. chosen
Statements (42)
| Predicate | Object |
|---|---|
| instanceOf |
book
ⓘ
non-fiction book ⓘ scientific monograph ⓘ |
| approach |
computational
ⓘ
interdisciplinary ⓘ theoretical ⓘ |
| author | David Marr NERFINISHED ⓘ |
| contributedTo |
development of computational theories of perception
ⓘ
formalization of vision as an information-processing problem ⓘ |
| describedAs |
foundational text in modern theories of visual perception
ⓘ
seminal work in computational neuroscience ⓘ |
| field |
cognitive science
ⓘ
computational neuroscience ⓘ computer vision ⓘ neuroscience ⓘ psychology of perception ⓘ vision science ⓘ |
| focusesOn |
how the brain processes visual information
ⓘ
how the brain represents visual information ⓘ |
| hasAbbreviation | Vision NERFINISHED ⓘ |
| hasAuthorFullName | David Courtenay Marr NERFINISHED ⓘ |
| impact |
bridged neuroscience and computer vision research
ⓘ
shaped subsequent research on visual processing in the brain ⓘ |
| influencedField |
artificial intelligence
ⓘ
cognitive psychology ⓘ computational neuroscience ⓘ computer vision ⓘ |
| introducesConcept |
algorithmic level of analysis
ⓘ
computational level of analysis ⓘ implementational level of analysis ⓘ |
| language | English ⓘ |
| proposes | three-level framework for information processing ⓘ |
| publicationYear | 1982 ⓘ |
| relatedTo |
Marr's levels of analysis
NERFINISHED
ⓘ
Marr's theory of vision NERFINISHED ⓘ |
| status |
classic in vision science literature
ⓘ
widely cited in neuroscience and AI research ⓘ |
| timePeriod | 20th century ⓘ |
| topic |
computational theory of vision
ⓘ
human vision ⓘ representation of visual information ⓘ visual perception ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Vision: A Computational Investigation into the Human Representation and Processing of Visual Information Description of subject: Vision: A Computational Investigation into the Human Representation and Processing of Visual Information is a seminal 1982 book by David Marr that laid the foundations of computational neuroscience and modern theories of visual perception.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.