🔴Translucency Result Scheme

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

The algorithm is deprecated.

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)

250KB

translucency.json

translucency.json