Cases

Typical scenarios within this site’s subject: questions to ask, materials to prepare and points that can be examined.

Typical scenarios

A review examines facial differences during a smile

If a portrait report treats mouth width and crease prominence as stable differences while one image shows a smile, review its reasoning. This case audits existing image analysis: visible soft-tissue movement, recording quality and comparability of facial state in selected frames.

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Typical scenarios

Identity conclusion based on matching measured proportions

If a facial report bases identity solely on ratios between facial landmarks, landmark uncertainty and uncontrolled capture conditions require a separate methodological assessment. Several explanations may be possible, so the specific materials are examined in full, preserving information about their provenance and preparation conditions. The proposition to be tested is defined before comparative assessment of the features.

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Typical scenarios

Close-range capture changes apparent facial proportions

If a report compares a close selfie with a distant camera frame, apparent nose width and ear size may differ because of perspective. Several explanations may be possible, so the specific materials are examined in full, preserving information about their provenance and preparation conditions. The proposition to be tested is defined before comparative assessment of the features.

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Typical scenarios

Reviewing portrait comparisons from different periods

If reference photographs come from different periods, changes in hair or facial hair cannot automatically mean different people. Suppose a report lists those differences but does not explain their significance among other available features.

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Typical scenarios

A facial comparison report relied on an AI-enhanced frame

If an examination uses an enlarged, enhanced frame while the original contains fewer facial details, the origin of the compared features needs checking. Processing can make an image easier to view, but apparent sharpness does not prove that every detail existed in the original signal.

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Facial comparison examination: identifying a person from photographs and video
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