Normative theory of visual receptive fields

2017/01/31 by Tony Lindeberg · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #Face Recognition and Perception #Retinal Development and Disorders #Visual perception and processing mechanisms #cs.CV #q-bio.NC

paper · pdf · doi:10.1016/j.heliyon.2021.e05897

published as Substantially revised version in Heliyon 7(1): e05897: 1-20, 2021 · 15 pages, 17 figures. arXiv admin note: text overlap with arXiv:1210.0754

openalex created_date 2017/02/03 · arxiv created 2017/02/16 · openalex publication_date 2021/01/01 · arxiv updated 2021/01/25 · openalex updated_date 2026/08/01

Abstract

This article gives an overview of a normative computational theory of visual receptive fields, by which idealized functional models of early spatial, spatio-chromatic and spatio-temporal receptive fields can be derived in an axiomatic way based on structural properties of the environment in combination with assumptions about the internal structure of a vision system to guarantee consistent handling of image representations over multiple spatial and temporal scales. Interestingly, this theory leads to predictions about visual receptive field shapes with qualitatively very good similarity to biological receptive fields measured in the retina, the LGN and the primary visual cortex (V1) of mammals.

Citations

• A computational theory of visual receptive fields
• The structure of images
• Image Matching Using Generalized Scale-Space Interest Points
• Invariance of visual operations at the level of receptive fields
• Idealized computational models for auditory receptive fields
• How Does the Brain Solve Visual Object Recognition?

Cited by

• Enhancing CNNs robustness to occlusions with bioinspired filters for border completion
• Affine shape adaptation [wikipedia]
• Receptive field [wikipedia]

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