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Knowledge-augmented face perception: Prospects for the Bayesian brain-framework to align AI and human vision.

Martin Maier1, Florian Blume2, Pia Bideau2

  • 1Cluster of Excellence Science of Intelligence, Technische Universität Berlin, Germany; Department of Psychology, Humboldt-Universität zu Berlin, Germany.

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Summary

Human visual perception uses context and prior knowledge, unlike current Artificial Neural Networks (ANNs). This research proposes aligning computer vision with the Bayesian brain framework for better facial recognition and human-machine interaction.

Keywords:
Bayesian brainComputer visionDeep learningFacial expression perceptionTop-down modulation

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Area of Science:

  • Cognitive Science
  • Computer Vision
  • Artificial Intelligence

Background:

  • Human visual perception is efficient, flexible, and context-sensitive, explained by the Bayesian brain's probabilistic inference.
  • Artificial Neural Networks (ANNs) have advanced computer vision but lack adaptive use of context and prior knowledge.

Purpose of the Study:

  • To propose methods for aligning human and computer vision, focusing on facial expression recognition.
  • To explore how the Bayesian brain framework can enhance ANNs for improved human-machine interaction.

Main Methods:

  • Reviewing human face perception studies on knowledge-augmentation and context-sensitivity.
  • Examining current approaches in computer vision that leverage contextual information.
  • Discussing the potential for an "epistemic loop" between neuroscience and AI.

Main Results:

  • Identified a gap in ANNs' ability to utilize contextual cues and prior knowledge adaptively.
  • Highlighted human perception's reliance on top-down influences and prior experience.
  • Proposed ANNs inspired by the Bayesian brain framework for more flexible AI.

Conclusions:

  • Aligning ANNs with the Bayesian brain framework can improve flexibility and utility in human-machine interaction.
  • ANNs can serve as powerful tools to advance empirical research into human knowledge-augmented perception.