Recognizing Lips Color
Explore how to segment and identify the dominant color of lips within facial images using Python libraries like Dlib and OpenCV. Understand the process of detecting lips, extracting their color features, and the applications of lip color recognition in facial analysis and cosmetic uses.
Introduction
The lips are an important defining feature of the face, making them an essential aspect of facial recognition. In addition, lips can be very important when predicting and estimating emotions using facial analysis software. Outside of face analysis, they can also serve as an indicator of general health. For example, when lips become bluish, this could be an indication of a lack of oxygen in the blood.
Objective
This lesson will explain the steps required for discerning the color and shape of a person’s lips from their facial image in an automated manner.
Below, we can see the series of steps that shape this process:
Dependencies
We’ll be using the following external Python libraries.
Library | Version |
Dlib | 19.17.0 |
opencv-python | 4.4.0.46 |
scikit-learn | 1.0.1 |
NumPy | 1.19.4 |
webcolors | 1.11.1 |
filetype | 1.0.7 |
Coding the utility
Let’s take a look at the core functions of this utility.
The process_lips_area function
This function segments the lips and extracts the top dominant color from this area. The function allows us to perform the following ...