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Related Experiment Video

Updated: Jun 21, 2026

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

Published on: December 24, 2015

Task effects, performance levels, features, configurations, and holistic face processing: a reply to Rossion.

Maximilian Riesenhuber¹, Brian S Wolff

¹Department of Neuroscience, Georgetown University Medical Center, 3970 Reservoir Road NW, Washington, DC 20007, USA. mr287@georgetown.edu

Acta Psychologica

|August 12, 2009

Summary

This summary is machine-generated.

This study addresses criticisms of a shape-based model of face recognition. The authors demonstrate that existing data, including new findings, support their model of holistic face processing in the brain.

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Area of Science:

Cognitive Neuroscience
Computational Vision
Neuroscience

Background:

A previous study proposed a shape-based computational model for human face recognition.
This model offers a biologically plausible substrate for holistic coding in the brain.
Recent criticisms have challenged aspects of this model and face perception research.

Purpose of the Study:

To address criticisms regarding a shape-based model of face recognition.
To clarify misunderstandings concerning face perception and holistic processing.
To demonstrate the model's compatibility with existing and new empirical data.

Main Methods:

Review of a previously established computational model of face recognition.
Analysis of empirical data from human face perception studies, including fMRI and behavioral techniques.
Comparison of model predictions with experimental findings on upright and inverted face processing.

Main Results:

The presented shape-based model provides a concrete substrate for holistic coding.
Data from various studies, including those by Rossion, support the computational model.
Evidence suggests convergence on holistic processing as a key mechanism in face recognition.

Conclusions:

The shape-based computational model is supported by empirical evidence in face recognition.
There is a growing consensus on the role of holistic processing in human face perception.
The model aligns with the principles of hierarchical visual processing for complex stimuli like faces.