Analyzing Natural Images: A Computational Theory of Texture Vision
Cold Spring Harbor Symposia on Quantitative BiologyPublished 1 January 1976
David Marr
Citations41
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
The vision problem begins with a large, gray-level intensity array and culminates in a description that depends on that array and on the purpose for which it is being viewed. The problem of interest is what has to go on in between. In this article, we shall restrict our attention to single-frame, monochromatic, monocular images without specularities, reflections, translucency, transparency or light sources and shall study some of the problems that arise in understanding early and intermediate levels of visual information processing.
Keywords
EngineeringPhysics and Astronomy
