Predicting Ideal Hairstyles Based on Face Shape | Beauty Machine Learning
TLDRThe video discusses how machine learning can predict the most flattering hairstyles based on an individual's facial shape. It outlines a support vector machine developed by Pasupa et al. that uses scientific aesthetics to recommend hairstyles. The system categorizes faces into five main shapes: oblong, round, oval, square, and heart, with further distinctions like diamond and triangular shapes. It then recommends hairstyles considering factors like length, style, fringe, and layering. For instance, round faces are suggested to have medium length hair with a side swept fringe to add height, while square faces benefit from hairstyles that soften their sharp features. The technology also addresses the issue of ethnic bias in AI, aiming to be more inclusive by using diverse datasets. The video concludes by emphasizing the importance of considering the unique features of each face shape to recommend the most suitable hairstyles.
Takeaways
- 🧑🔬 Machine learning can predict the most flattering hairstyles based on an individual's facial shape using facial identification systems.
- 📏 Facial features like ocular morphology, jaw shape, and cheekbones are evaluated to determine the best hairstyle.
- 📈 A support vector machine, as described in a 2018 paper by Pasupa et al, recommends hairstyles based on scientific aesthetics evidence.
- 🤖 The technology categorizes faces into five main shapes: oblong, round, oval, square, and heart, each with specific hairstyle recommendations.
- 📏 Oblong faces, like those of Sarah Jessica Parker and Alexa Chung, are long and thin with equal width across the forehead, cheeks, and jawline.
- 🍎 Round faces, exemplified by Jennifer Lawrence, are characterized by a circular shape with the widest part being the cheekbones.
- 🥚 Oval faces, like Blake Lively's, have a tall forehead and are longer than they are wide, with the cheekbones as the widest part.
- 🧊 Square faces, such as Cameron Diaz's, have equal height and width, with very straight sides and sharp features.
- 💖 Heart-shaped faces, with the widest part being the forehead and a pointed chin, may feature a widow's peak hairline.
- 🌐 The technology uses a facial shape recognition classifier trained on a diverse dataset to minimize ethnic bias.
- 📊 The system recommends hairstyles based on attributes like length, style, fringe, and layering, tailored to enhance specific facial features.
Q & A
What is the main purpose of using facial identification systems in recommending hairstyles?
-The main purpose is to recommend the most complimentary hairstyles for an individual's facial shape using machine learning systems, which can objectively predict what features will best suit one's face based on facial morphology.
How does the machine learning system evaluate a person's facial features for hairstyle recommendations?
-The system evaluates factors such as ocular morphology (size and shape of eyes), jaw shape, cheekbones, and overall facial shape, using facial recognition classifiers to recommend certain features that would best suit the individual's face.
What is the basis of the technology used in the 2018 paper by Pasupa et al?
-The basis of the technology is a support vector machine that recommends a chosen hairstyle for a user based on scientific aesthetics evidence, allowing the user to 'wear' a certain hairstyle and see how they look.
How many main categories of face shapes does the technology use to predict the perfect hairstyle?
-The technology uses five main categories of face shapes: oblong, round, oval, square, and heart shaped.
What are some of the facial features that define an oblong face shape?
-An oblong face shape is defined by a long thin face with an equal width for the forehead, cheeks, and jawline, and a chin with a very slight curve.
How does the round face shape differ from the oblong shape?
-A round face shape is characterized by a very circular head, with the cheekbones being the widest part of the face, a significantly curved chin, and the sides of the face curving outwards instead of being straight.
What are the key characteristics of an oval face shape?
-An oval face shape is characterized by a tall forehead, cheekbones as the widest part of the face, and an overall face that is longer than it is wide.
What are the typical features of a square face shape?
-A square face shape has the same overall height from the forehead to the chin as it does width from cheekbone to cheekbone, with very straight sides and typically sharp and angular features like a sharp jawline.
How does the heart shaped face differ from other face shapes?
-A heart shaped face has a wide forehead, a pointed chin, and often features a widow's peak, which is a distinct peak of the hairline at the center of the forehead.
What are some of the limitations of the current face shape classifier technology?
-One limitation is the potential for ethnic bias due to a lack of training data. The current classifier in development uses the Fairface dataset, which includes equal weightings of 7 racial groups to mitigate this issue.
How does the machine learning system recommend hairstyles based on face shape?
-The system recommends hairstyles based on four attributes: length (pixie, short, mid, long), style (straight, wavy, mix), fringe (none, straight, side swept), and whether the hair should be layered or not.
What is the role of the Active Appearance Model in the facial recognition process?
-The Active Appearance Model is a landmark localization technique that examines vital points on the face and skin pigmentation, separating the hair and forehead, allowing the calculation of geometric features that represent face shape.
Outlines
💡 Predicting the Perfect Hairstyle for Your Face Shape
The paragraph discusses how facial identification systems and machine learning can recommend hairstyles that best suit an individual's facial shape. It explains that various facial features, including ocular morphology, jaw shape, and overall facial shape, are evaluated. A 2018 paper by Pasupa et al. is mentioned, which details a support vector machine that recommends hairstyles based on scientific aesthetics. The technology categorizes faces into five main shapes: oblong, round, oval, square, and heart, each with distinctive characteristics. The paragraph also highlights the importance of avoiding ethnic bias in AI and the use of diverse datasets for training.
📏 Geometric Rules for Hairstyle Recommendations
This section delves into the geometrical rules and aesthetic guidelines that machine learning systems use to recommend hairstyles for different face shapes. It outlines the process of training the system using a facial shape recognition classifier and compares manual labeling with the system's output for consistency. The Active Appearance Model is introduced as a technique for analyzing vital facial points. The paragraph also addresses the issue of ethnic bias in AI, mentioning the use of the Fairface dataset to ensure equal representation of different racial groups. The support vector machine's recommendations are based on hair length, style, fringe, and layering, tailored to enhance specific face shapes like round, square, and oval.
🌟 Enhancing AI for Hairstyle Recommendations
The final paragraph focuses on the future development of AI technology for hairstyle recommendations. It emphasizes the intention to include more races for greater inclusivity, especially for hairstyles often overlooked in AI, such as those of black and Arabian individuals. The paragraph invites hairstylists and experts to contribute to the development of the tool for more in-depth advice. It also provides styling recommendations for square and oval face shapes, emphasizing the importance of softening sharp features and avoiding adding extra height for oval faces. The paragraph concludes by stating that hairstyles can be objectively defined by analyzing skull morphology and recommends specific hair attributes to complement facial features.
Mindmap
Keywords
💡Machine Learning
💡Facial Morphology
💡Facial Recognition Classifier
💡Support Vector Machine (SVM)
💡Face Shape Categories
💡Ocular Morphology
💡Jaw Shape
💡Hairstyle Recommendations
💡Active Appearance Model (AAM)
💡Ethnic Bias in AI
💡Hair Length and Style
Highlights
Machine learning can predict the most complimentary hairstyles based on an individual's facial shape.
Facial identification systems evaluate ocular morphology, jaw shape, and cheekbones to recommend hairstyles.
A facial recognition classifier defines overall facial shape to recommend certain features.
A 2018 paper by Pasupa et al outlines a support vector machine for recommending hairstyles based on scientific aesthetics.
Face shape is divided into five main categories: oblong, round, oval, square, and heart.
Oblong faces are characterized by a long thin face with equal width for forehead, cheeks, and jawline.
Round faces have circular heads with the widest part being the cheekbones.
Oval faces have a tall forehead and are longer than they are wide, with cheekbones as the widest part.
Square faces have the same overall height and width, with very straight sides and sharp features.
Heart shaped faces have a wide forehead, a pointed chin, and often a widow's peak hairline.
There are further shapes like diamond and triangular faces that are not simplified into the five main categories.
Each unique face shape has a set of hairstyles that best compliment it based on geometrical rules and aesthetics guidelines.
The facial shape recognition classifier is trained using 1000 relevant faces sourced from a Google image search.
The Active Appearance Model technology is used to calculate geometric features representing face shape.
Ethnic bias in AI is a concern, and the Fairface dataset with equal weightings of 7 racial groups is used to mitigate this.
The Support Vector Machine recommends hairstyles based on length, style, fringe, and layering.
For round faces, medium length hairstyles with a side swept fringe are suggested to add height.
Square faces benefit from hairstyles that soften the hard structures and add height, using a side swept fringe.
Oval faces are versatile and can pull off a wide variety of hairstyles without needing to add extra height.
Oblong faces are recommended to have curly or short hair to reduce face height and create a fuller look.
Heart shaped faces should maintain width with a side swept fringe and opt for long, layered hairstyles.