Translucency

Haut.AI provides an AI algorithm that evaluates skin luminosity.

Description

Translucency is a parameter based on human perception of skin luminosity. The physical foundation of skin luminosity is light reflection. The uniformness and intensity of this light reflection can be affected by a combination of low skin tightness, non-uniform pigmentation, oiliness, and the skin’s hydration level. With respect to all of these parameters, healthy skin manifests as a normal, smooth distribution of reflected light, which is perceptually interpreted as good skin translucency.

The higher parameter values are associated with better translucency.

"algorithm_tech_name": "translucency"

area_name

The algorithm returns metrics and sub-metrics for the following facial areas:

  • face

  • right_cheek

  • left_cheek

  • forehead

main_metric

The main metric is an overall score indicating translucency for each area_name

"main_metric": {
                "value": 27,
                "widget_type": "bad_good_line",
                "name": "Translucency score",
                "tech_name": "translucency_score",
                "widget_meta": null
            },
  • value the translucency score ranges from [0,100]

  • "widget_type": "bad_good_line" indicates that a higher value is better

  • "name": "Translucency score"

  • "tech_name": "translucency_score"

sub_metrics

no submetrics

masks_restored

The algorithm returns a vectorized mask of translucency on a restored image

  • "mask_type": "heatmap_mask"

  • features

    • geometry

      • "type": "MultiPolygon"

    See more on Masks here

masks_original

The algorithm returns a vectorized mask of translucency on an original image

  • "mask_type": "heatmap_mask"

  • features

    • geometry

      • "type": "MultiPolygon"

    See more on Masks here

Example (JSON)

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