Engineers have developed a 3D camera that is as easy to use as the one in smartphones.
This principle was followed by a professor at Purdue University with more than two decades of experience in the field of 3D imaging, where he developed a new technology aimed at making 3D cameras easy to use.
WHO IS THE ENGINEERING TEAM BEHIND THIS TECHNOLOGY?
Professor Song Chang, a professor at Purdue University's School of Mechanical Engineering, led a team to create technologies that help compress 3D camera files.
In addition to automating its auto focus and display settings for the cameras.
“We have come a long way with advanced, high-quality 3D camera technology,” said Professor Zhang
But the use of this technology still requires a great deal of training, so we want to make 3D camera technologies easier to use and accessible to everyone.
From tourists to doctors to video producers.
HOW DOES THE 3D CAMERA WORK?
To get the best 3D camera photos, the camera uses structured lighting technology.
The manufacturers make the display and focal length of the cameras very accurate, in addition to calibrating other parameters
Users must manually adjust the sensor and this requires training in how to operate the camera properly.
For Prof. Zhang's team, they automated the process of "tuning" by developing algorithms that quickly determine an optimal presentation method.
This is done after the sensors in the camera understand the function required to perform it
The researchers also devised another method for generating highly accurate 3D images, using the autofocus feature on electronically adjusted lenses.
WHAT IS THE IMPORTANCE OF 3D CAMERA TECHNOLOGY?
The technology of three-dimensional cameras has the ability to leave a greater impact in the field of photography than the traditional two-dimensional cameras in circulation today.
The work of Professor Zhang's Purdue team has been published in the scientific journal "Letters of Optics" by the Optical Society of America.
In addition to the journal “Optics and Lasers in Engineering,” part of this research was funded by the US Department of Justice and the National Science Foundation.
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