Year: 2025
Type: article
Abstract: . We model the functional architecture of the early stages of three-dimensional vision by extending the neurogeometric sub-Riemannian model for stereovision introduced in [M. V. Bolelli, G. Citti, A. Sarti, and S. W. Zucker, Front. Comput. Sci., 5 (2024), 1142621]. A new framework for correspondence is introduced that integrates a neural-based algorithm to achieve stereo correspondence locally while simultaneously organizing the corresponding points into global perceptual units. The result is an effective scene segmentation. We achieve this using harmonic analysis on the sub-Riemannian structure and show, in a comparison against Riemannian distance, that the sub-Riemannian metric is central to the solution.
Source: SIAM Journal on Imaging Sciences
DOI: 10.1137/24m1712333
Authors: M. V. Bolelli, G. Citti, A. Sarti, S. W. Zucker
Language: English
Topic: Advanced Vision and Imaging
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4416982459
