Biologically Inspired Computer Vision

Meetup Art et Neurosciences Quoi Meetup Art et Neurosciences Qui Association NeuroNautes Quand 25 Janvier 2018 Où Salle des voutes campus Saint Charles Support visuel https://laurentperrinet.github.io/sciblog/files/2018-01-25_meetup-neuronautes.html (notes: la présentation peut mettre un certain temps à charger.

This paper presents for the first time the embedded stand-alone version of the bio-inspired M2APix (Michaelis-Menten auto-adaptive …

Sparse coding of images in the retina follows regular statistics at the global, not the local scale See supplementray code. How does the retina respond to stimuli with different sparseness?

See a followup in Laurent U Perrinet, James A Bednar (2015). Edge co-occurrences can account for rapid categorization of natural versus animal images. Scientific Reports. Cite DOI Code URL HAL

EUVIP Session 7: Biologically Inspired Computer Vision (Special Session).

Natural images follow statistics inherited by the structure of our physical (visual) environment. In particular, a prominent facet of …

This is the introductory chapter of the book, which serves as a comprehensive but rigorous reference in the area of biologically …

The representation of images in the brain is known to be sparse. That is, as neural activity is recorded in a visual area, for instance …

Appeared in this book: Gabriel Cristóbal, Laurent U Perrinet, Matthias S Keil (2015). Biologically Inspired Computer Vision. Cite DOI Code URL

As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and …

Oriented edges in images of natural scenes tend to be aligned in co-linear or co-circular arrangements, with lines and smooth curves …

Making a judgment about the semantic category of a visual scene, such as whether it contains an animal, is typically assumed to involve …

This paper considers the problem of sensorimotor delays in the optimal control of (smooth) eye movements under uncertainty. …

Analysis and interpretation of a visual scene to extract its category, such as whether it contains an animal, is typically assumed to …

see Kaplan and al, 2014

See a followup in Laurent U Perrinet, James A Bednar (2015). Edge co-occurrences can account for rapid categorization of natural versus animal images. Scientific Reports. Cite DOI Code URL HAL

In recent years, with the advent of High-resolution Computed Tomography (HRCT), there has been an increased interest for diagnosing …

If modern computers are sometimes superior to cognition in some specialized tasks such as playing chess or browsing a large database, …

Meanwhile biorthogonal wavelets got a very popular image processing tool, alternative multiresolution transforms have been proposed for …

relies on log-Gabor filters: Sylvain Fischer, Filip Šroubek, Laurent U Perrinet, Rafael Redondo, Gabriel Cristóbal (2007). Self-Invertible 2D Log-Gabor Wavelets. International Journal of Computer Vision. PDF Cite DOI Code URL Schematic structure of the primary visual cortex implemented in the present study.

Efficient sparse coding of overcomplete transforms remains still anopen problem. Different methods have been proposed in theliterature, …

Low-level perceptual computations may be understood in terms of efficient codes (Simoncelli and Olshausen, 2001, Annual Review of …

To understand possible strategies of temporal spike coding in the central nervous system, we study functional neuromimetic models of …