Virtual Beauty Makeover Software That Women Hate And Like
By Alena Arsenova
May 13, 2019
In recent years, virtual beauty makeover software has gained significant traction.
Developers seek to power their camera apps with face beautification for users would enjoy viewing themselves in the camera. Beauty brands capitalize on the virtual makeup try ons — shopping with augmented reality is a mere fun, and kids just adore it.
From virtual makeup try on, selfie editing, plastic surgery demos to beauty analyzers — the virtual beauty makeover software unleashes umpteen possibilities to modify your face.
Which apps powered with face beautify software are really useful? And which one we’d better avoid? I’ve tested a bunch of apps to find the answers.
Virtual Beauty Makeover Software: Features That Women Hate
AI beauty… why?
#1. Uglification vs Beautification
When browsing the virtual cosmetic makeovers I came across MakeApp, an AI-based selfie editor. I downloaded my selfie into the app and pressed the button “Remove Makeup”.
Along with my bare makeup, the app removed my eyelashes, a part of my eyebrows and made my face deadly pale... Ouch.
The 'Apply Makeup' feature failed to amuse either. The virtual makeup try on reminded me of being a kid and playing with mom’s makeup bag.
Although MakeApp's founder Ashot Gabrelyanov positioned his app as “an experiment” rather than a professional virtual makeover, it caused much of discontent in women.
Unlike all the 'normal' virtual makeovers that beautify, MakeApp made users look worse than they are in reality. It whitens the dark skin and gives an unhealthy look to the fair skin.
This is not the first case when women blame technology for violating their right to be beautiful on their terms.
#2. No user control
Snapchat’s beautification filter has undergone critiсism too for drastically slimming down noses and cheeks. Not all women were happy to see their faces fine-tuned under standards — isn’t it what makes us unique?
The face beautify technology is fully justified for correcting distortion and poor camera’s capabilities. The camera increases your nose by 30% if you take a selfie photo from 30 cm.
However, it has to be up to the user’s choice whether to use it or not as well as being able to adjust the level of beautification.
Our Beautification SDK includes a range of face parameters like morphing, skin retouch, eyes emphasis, teeth whitening. At the same time, users can control the level of beautification via one-button slider what makes it a perfect solution for video chats, photo editors or any kind of camera app.
#3. Photo editing vs real-time experience
Virtual makeovers mean to visualize makeup right on your face and help you to nail your perfect look quickly. Yet, the photo editing and manual adjustments of facial points frustrate users.
Mary Kay is a great cosmetic company, but its mobile virtual makeover caused discontent and negative reviews among the users because of no automatic face detection and poor UI.
You have to manually adjust facial feature position of eyes, lips, eyebrows, match eyes and head pose to get a virtual makeup on your photo. Neither convenient nor quick process.
Virtual Beauty Makeovers: Features That Women Like
Your magic beauty mirror
Even though some of virtual beauty makeover apps and filters raise criticism, we can’t but ignore the potential of the technology.
Easy makeup shopping. Quicker product choice through visualization. Are there apps that have succeeded in bringing in a friction-free experience? Here they are.
Youcam Makeup app does an amazing job with virtual makeup try on and hair recolor — all in real time and with stunning accuracy. Besides, the app can track your skin conditions estimating its texture, wrinkles and health.
Makeup Genius by L'Oreal utilizes face detection and tracking technology allowing you to wear makeup virtually.
Sephora Virtual Artist has also been favored by its users for the virtual try on, ease of use and seamless product discovery experience.
What makes up a successful cosmetic makeover?
Automatic detection of facial features is an easier and more convenient way of applying makeup compared to photo editing.
To make sure the colors are transferred correctly and look as realistic as in the physical world, the SDK needs to have powerful renderer capabilities. Ideally, one would not see the difference between virtual lipstick and the real one.
We’ve interviewed _ MUA artists and beauty influences to find out what face beautify features girls need. Guess, what’s their main challenge? Matching the colors? Finding the right product? Not even close.
Setting the right lighting to show makeups is the number 1 challenge that MUA artists face. The same factor has to be considered for virtual makeup apps too. Otherwise, the experience of virtual makeup try on feels unrealistic.
Fast performance and easy UI
These features are fundamental for any mobile app. No matter how innovative and amazing the functionality is, it’ll never ring the bell with users unless functions robustly on their phones.
Face beauty analyzers rating your beauty
Can AI be your fair judge?
Apart from selfie editing and virtual makeup try on which are the top of mind examples of the face modification technology application, there’s another interesting use case to look at.
Face beauty analyzers have always kept people skeptical. Indeed, how can a heartless machine judge on aesthetic things like beauty? In fact, it can and already do.
The algorithms assess faces based on the golden ratio, skin condition, facial symmetry, and other factors that make up the “beauty” term.
As an example, the team from Youth Laboratory launched the Beauty AI contest back in 2015. Over 6,000 people from 100+ countries sent their selfies for the AI-powered face analyzer to choose the most beautiful men and women of different ages. Once the results revealed that nearly all out of 44 winners were fair-skinned, the public lashed out.
Another example is the online Face Beauty Analysis Testthat is not recommended to people with low self-esteem or confidence issues.
Beauty is obviously not a set of estimations and standards. And this is why all existing beauty analyzers are meaningless, right? Not really.
The core technologies that stand behind face beauty analyzers like computer vision, face beauty analysis have a far more meaningful purpose.
By detecting and classifying skin problems, algorithms can advise on the best products.
Based on the Beauty AI contest, the team launched Rynkl app that helps you track your skin condition. Already now, Olay Skin Advisor can assess your skin age and advise best skin care products. The in-store AR mirror HiMirror Plus scans your face and advises products and skin regimens.
Want to power your app with face beautify software or launch a real-time virtual makeup try on?