Vision: A Computational Investigation into the Human Representation and Processing of Visual Information¶
Marr, D. (2010). Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. MIT Press.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Black Box vs. White Box Distinction
- In computational vision, Marr's 1982 Vision: A Computational Investigation
This sourceFrames vision as a white-box problem analyzed at three levels (computational, algorithmic, implementational), specifying goals, constraints, and algorithms.
- In computational vision, Marr's 1982 Vision: A Computational Investigation
- Gestalt Principles
- A visual stimulus typically contains thousands of discrete elements — every edge, contour, region, and color patch — and considering all pairwise relations combinatorially would exceed any reasonable processing budget, a complexity-bounding constraint Marr (1982) made central to his computational theory of vision: the visual system must use stable structural priors (organizational rules) to avoid combinatorial explosion.
This sourceEstablishes the three-level (computational/algorithmic/implementational) analysis and argues vision must use stable structural constraints/priors to render an underconstrained problem tractable.
- A visual stimulus typically contains thousands of discrete elements — every edge, contour, region, and color patch — and considering all pairwise relations combinatorially would exceed any reasonable processing budget, a complexity-bounding constraint Marr (1982) made central to his computational theory of vision: the visual system must use stable structural priors (organizational rules) to avoid combinatorial explosion.
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