Preprint Review Version 2 Preserved in Portico This version is not peer-reviewed

Curvature Coding in Human Vision: A Classical Review Across Psychophysics, Neurophysiology and Computer Vision. What’s Missing?

Version 1 : Received: 6 October 2023 / Approved: 6 October 2023 / Online: 6 October 2023 (13:49:22 CEST)
Version 2 : Received: 10 October 2023 / Approved: 26 October 2023 / Online: 27 October 2023 (12:13:01 CEST)

How to cite: Nisar, I. Curvature Coding in Human Vision: A Classical Review Across Psychophysics, Neurophysiology and Computer Vision. What’s Missing?. Preprints 2023, 2023100349. https://doi.org/10.20944/preprints202310.0349.v2 Nisar, I. Curvature Coding in Human Vision: A Classical Review Across Psychophysics, Neurophysiology and Computer Vision. What’s Missing?. Preprints 2023, 2023100349. https://doi.org/10.20944/preprints202310.0349.v2

Abstract

A study of curvature along the contour provides important sources of information about the shape of an object. Knowledge of contour curvature allows for the perception of and interaction with 3D objects. In this review, we will explore the value of contour curvature in the field of neurophysiology, psychophysics, computer vision, and psychology. The serial consolidation of disjoint edges, oriented in a particular manner, into composited curves allows building of identifiable shapes in occluded natural environments [Hess1999, Wertheimer1923, Zucker1989, Feldman2001]. Examples are our ability to pick objects, sort and manage shapes otherwise hidden or confounded by occlusion in messy natural environments. Contour curvature has been intensively studied in psychology as it forms the first steps in 2D shape building which eventually becomes 3D object recognition in the human brain.

Keywords

contour curvature; shape

Subject

Social Sciences, Psychology

Comments (1)

Comment 1
Received: 27 October 2023
Commenter: Irfa Nisar
Commenter's Conflict of Interests: Author
Comment: (a) Used the mdpi article template.
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