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Symmetrical Face Photography

The Series by Alex John Beck Displays the Same Side of Someone's Face

— March 24, 2014 — Art & Design
Photographer Alex John Beck shows us what we would look like if both sides of our face were the same. Since both sides of our face are different from each other, it is hard to know what we would look like if we were perfectly symmetrical. The photo series 'Both sides of' by Alex John Beck displays peoples faces as a symmetrical image with both the left and right sides of the face.

It is interesting to see that if you had just the left or right side of your face on both sides, then you would look a whole lot different. Your face might be thinner and long, or fat and short. Your eyes could end up being further apart from each other, and have a bigger nose. This photo series shows us that having an asymmetric face makes sets us apart from everyone, and gives us character.
Trend Themes
1. Symmetrical Face Technology - Developing a technology that can generate a symmetrical version of someone's face could revolutionize the beauty and plastic surgery industry by allowing people to see potential outcomes of facial alterations.
2. Symmetrical Humanoid Robots - Creating humanoid robots with perfectly symmetrical faces could enhance their uncanny valley, making them more relatable and acceptable to humans.
3. Symmetric Design - Using symmetrical design in architecture and industrial design could create a sense of harmony and balance in the environment, potentially improving mental health and well-being.
Industry Implications
1. Beauty - The beauty industry could use symmetrical face photography to create more accurate before and after photos and to offer customers a glimpse of how they would look with different treatments.
2. Plastic Surgery - The plastic surgery industry could use symmetrical face photography as a tool for consultations and as a way to show clients potential outcomes of procedures.
3. Artificial Intelligence - The AI industry could use symmetrical face photography as a tool in facial recognition software and as a way to improve accuracy and efficiency in identifying individuals.
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