What is 3D body scanning?
3D body scanning is the action of capturing in 3D the human body using a 3D body scanner.
3D body scanners can capture a human body, or only specific parts, to generate a very detailed 3D model within a few seconds. The result is a 3D model, viewable on a computer, of the body or limb which was captured. Depending on the desired application and on the 3D body scanner used, the 3D model can have colors and textures to perfectly match the original, or simply be a mesh, a sort of cloud of dots forming the shape of the body.
All the measurements and 3D capture are made by the full body scanner for an optimal accuracy.
3D body scanners are revolutionizing the way we capture, measure and track evolutions of the human body, in various fields from medical to fitness or entertainment. Recent improvements in whole-body 3D scanning technologies are leading to a growing number of applications. Initially developed for the clothing industry, 3D body scanners are greatly improving our ability to accurately measure and visualize a person’s body size, shape, and skin-surface area. Recent advances in whole body scanning unlock new potential especially for healthcare applications.
What are the benefits of 3D body scanning?
3D body scanning is the perfect technology to capture in 3D a full human body or specific parts. When compared to traditional body imaging and measurements technologies, 3D body scanning offers many advantages:
- Non-invasive: 3D body scanning is an entirely non invasive process. The 3D scanner never enters directly in contact with the subject. If using a handheld 3D scanner, the device is held at some distance by the operator and is moving around the subject. In the case of a 3D scanning booth, the subject simply stands in the middle of the booth to be captured in 3D from all angles by a number of sensors, rigged to the booth, all without direct physical contact.
- Fast: scanning in 3D a person with a 3D scanning booth takes less than 10 seconds. When using a portable 3D scanner, the process can take several minuted and requires the subject to stand perfectly still.
- Accurate: 3D body scanners are high precision tools and usually have a high resolution to produce highly detailed 3D models. They can detect things the human eye can’t, making such 3D scanners very valuable in many circumstances. The quality of the result depends of course on the type of body scanner used. Some 3D scanning booth are capable of capturing several persons at once with a stunning level of details, including colors and textures.
The top 3D body scanning applications
3D body scanning can have many applications. Among them, the most common are:
- 3D figurines: also called 3D selfies or 3D portraits, these miniature statues of actual people are typically 3D printed from a 3D model obtained with a full body 3D scanner, usually a 3D scanning booth.
- Fitness and body shape monitoring: 3D body scanners are used in fitness to track the progress of a person through various body measurements, body shapes metrics, posture analysis and more.
![3D handheld body scanners for the medical industry.](data:image/jpeg;base64,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)
3D body scanners for the medical industry.
- Fashion/Clothing: the Fashion industry is starting to use 3D body scanners to capture accurate body measurements in order to make custom and tailored apparel. In retail, 3D body scanning unlocks new potential for in-store and online shopping with the emergence of virtual fitting rooms: shoppers can use their own 3D avatar, based on accurate body measurements, to try on new clothes effortlessly.
- Healthcare and medical: there are many applications of body scanning in medical fields, from monitoring body shape to identify potential issues to capturing highly detailed 3D models of body parts such as a disabled limbs to make a custom prosthetics for example. 3D body scanning can also help monitor how fast a burn is healing by capturing in 3D the damaged skin, identifying the burnt tissues and measuring the area to track progress, thanks to colors and textures 3D scanning.
- Avatar creation: 3d body scanning and 3D face scanning can be used in entertainment to create realistic avatars, for video games for example.