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Updated: Jun 18, 2026

Mammalian Cell Division in 3D Matrices via Quantitative Confocal Reflection Microscopy

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Published on: November 29, 2017

[Wrinkles analysis and representation by 2D imaging].

J-M Sainthillier¹, S Mac-Mary, Ph Humbert

¹Skinexigence, Hôpital Saint Jacques, 2 Place Saint-Jacques, Besançon, France. jmsainthillier@chu-besancon.fr

Annales De Dermatologie Et De Venereologie

|November 26, 2009

Summary

Digital photography offers a low-cost method for assessing facial wrinkles. This review explores 3D pseudo-quantification from 2D images, comparing its limitations to traditional 3D profilometry.

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Area of Science:

Dermatology and Medical Imaging
Computer Vision and Image Analysis

Context:

Digital photography is widely used in clinical settings for visual documentation.
There is increasing interest in leveraging digital images for quantitative analysis, particularly for facial aesthetics.

Purpose:

To review methods for quantifying facial wrinkle volume from 2D digital photographs.
To explore the 3D representation of facial features derived from 2D images.
To compare the limitations of 3D pseudo-quantification with traditional 3D profilometry.

Summary:

This review examines techniques for estimating facial wrinkle volume using 2D digital photography, adapting algorithms from 3D profilometry.
It details the process of creating 3D representations from standard photographs.
The study critically evaluates the drawbacks and limitations of this approach, contrasting it with established 3D profilometry methods.

Impact:

Provides insights into the potential and limitations of using accessible digital photography for quantitative facial analysis.
Informs researchers and clinicians about the accuracy and constraints of 3D pseudo-quantification techniques.
Highlights areas for future development in non-invasive facial assessment tools.