Biologically Inspired Computer Vision

Expériences autour de la perception de la forme en art et science

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. Une fois que le titre apparait, appuyer sur la touche “F” pour mettre en plein écran)
    Elasticité
    Elasticité dynamique est composée des pièces Expansion, Trame et Lignes sonores. Volume hexagonal en miroir de 7 mètres de diamètre, Expansion fonctionne comme une chambre d’écho. A l’intérieur de ce volume se situe Trame. Constituée de 25 lames de miroir en rotation, cette pièce réoriente continuellement le regard. Quant à Lignes sonores, elle est formée de quatre monolithes orientés vers Expansion et émet des sons qui se réorientent en fonction du mouvement des lames. (© Etienne Rey, Adagp Paris
2018-01-25
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M2APix: a bio-inspired auto-adaptive visual sensor for robust ground height estimation
This paper presents for the first time the embedded stand-alone version of the bio-inspired M2APix (Michaelis-Menten auto-adaptive …
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Tutorial: Sparse optimization in neural computations
2017-01-19
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Differential response of the retinal neural code with respect to the sparseness of natural images

Sparse coding of images in the retina follows regular statistics at the global, not the local scale
Sparse coding of images in the retina follows regular statistics at the global, not the local scale
See supplementray code.

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Differential response of the retinal neural code with respect to the sparseness of natural images
Biologically-inspired characterization of sparseness in natural images
2016-10-26
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Categorization of microscopy images using a biologically inspired edge co-occurrences descriptor
2016-10-26 : EUVIP BICV
EUVIP Session 7: Biologically Inspired Computer Vision (Special Session).
2016-10-26 2 min read
2016-10-26 : EUVIP BICV
Biologically-inspired characterization of sparseness in natural images
Natural images follow statistics inherited by the structure of our physical (visual) environment. In particular, a prominent facet of …
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Introduction
This is the introductory chapter of the book, which serves as a comprehensive but rigorous reference in the area of biologically …
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Sparse Models for Computer Vision
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 …
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Sparse Models for Computer Vision
Visual motion processing and human tracking behavior
Biologically Inspired Computer Vision
As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and …
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Biologically Inspired Computer Vision
Sparse Coding Of Natural Images Using A Prior On Edge Co-Occurences
Oriented edges in images of natural scenes tend to be aligned in co-linear or co-circular arrangements, with lines and smooth curves …
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Edge co-occurrences can account for rapid categorization of natural versus animal images
Making a judgment about the semantic category of a visual scene, such as whether it contains an animal, is typically assumed to involve …
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Edge co-occurrences can account for rapid categorization of natural versus animal images
Active inference, eye movements and oculomotor delays
This paper considers the problem of sensorimotor delays in the optimal control of (smooth) eye movements under uncertainty. …
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Active inference, eye movements and oculomotor delays
Edge co-occurrences are sufficient to categorize natural versus animal images
Analysis and interpretation of a visual scene to extract its category, such as whether it contains an animal, is typically assumed to …
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Signature of an anticipatory response in area V1 as modeled by a probabilistic model and a spiking neural network
2014-04-25
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Edge co-occurrences and categorizing natural images
Advances in Texture Analysis for Emphysema Classification
In recent years, with the advent of High-resolution Computed Tomography (HRCT), there has been an increased interest for diagnosing …
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Adaptive Sparse Spike Coding : applications of Neuroscience to the compression of natural images
If modern computers are sometimes superior to cognition in some specialized tasks such as playing chess or browsing a large database, …
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Adaptive Sparse Spike Coding : applications of Neuroscience to the compression of natural images
Self-Invertible 2D Log-Gabor Wavelets
Meanwhile biorthogonal wavelets got a very popular image processing tool, alternative multiresolution transforms have been proposed for …
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Self-Invertible 2D Log-Gabor Wavelets
Sparse Approximation of Images Inspired from the Functional Architecture of the Primary Visual Areas
Sparse Approximation of Images Inspired from the Functional Architecture of the Primary Visual Areas
Sparse Gabor wavelets by local operations
Efficient sparse coding of overcomplete transforms remains still anopen problem. Different methods have been proposed in theliterature, …
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Efficient representation of natural images using local cooperation
Low-level perceptual computations may be understood in terms of efficient codes (Simoncelli and Olshausen, 2001, Annual Review of …
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Coding static natural images using spiking event times: do neurons cooperate?
To understand possible strategies of temporal spike coding in the central nervous system, we study functional neuromimetic models of …
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Coding static natural images using spiking event times: do neurons cooperate?