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Making 3D cameras easier to use

Date:
March 25, 2020
Source:
Purdue University
Summary:
Mechanical engineers are working to compress 3D camera files and automate focus and exposure settings.
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A 3D camera should be as easy to use as one found on a smartphone.

That is the guiding principle for a Purdue University professor with more than two decades of experience in the 3D imaging field, who has developed new technologies aimed at making 3D cameras easier to use.

Song Zhang, a professor of mechanical engineering in Purdue's College of Engineering, led a team to create technologies to help compress 3D camera files and automate focus and exposure settings.

"We have come a long way with high-end 3D camera technology," Zhang said. "But using the technology still almost always requires a great deal of training. We want to create technologies to make 3D cameras easier to use for everyone from tourists to doctors to video producers."

To obtain the best image with current high-end 3D cameras based on structured light technique, the manufacturer must conduct precise projector and camera focal length and other parameters calibration, and the user must manually adjust the optimal sensor exposure time. This leads to a training requirement for a user to properly operate the camera, and often involves complicated recalibration processes by the manufacturer if the camera is accidentally disturbed.

Zhang's team has automated the process of profilometry by developing algorithms to rapidly determine the optimal exposure after understanding the intrinsic constant response function of the sensor. The researchers also devised a method of generating highly accurate 3D images using an autofocusing feature on electronically tunable lenses.

"I believe 3D camera technology has the ability to have an even greater impact on the field than 2D camera technology ever has, assuming it is easy enough for users," Zhang said.

The Purdue team's work is published in Optics Letters and Optics and Lasers in Engineering. Part of the research has been funded by the U.S. Department of Justice and the National Science Foundation.

The innovators have worked with the Purdue Research Foundation Office of Technology Commercialization to patent the technologies. The office recently moved into the Convergence Center for Innovation and Collaboration in Discovery Park District, adjacent to the Purdue campus.


Story Source:

Materials provided by Purdue University. Note: Content may be edited for style and length.


Journal References:

  1. Xiaowei Hu, Guijin Wang, Jae-Sang Hyun, Yujin Zhang, Huazhong Yang, Song Zhang. Autofocusing method for high-resolution three-dimensional profilometry. Optics Letters, 2020; 45 (2): 375 DOI: 10.1364/OL.382431
  2. Song Zhang. Rapid and automatic optimal exposure control for digital fringe projection technique. Optics and Lasers in Engineering, 2020; 128: 106029 DOI: 10.1016/j.optlaseng.2020.106029

Cite This Page:

Purdue University. "Making 3D cameras easier to use." ScienceDaily. ScienceDaily, 25 March 2020. <www.sciencedaily.com/releases/2020/03/200325143823.htm>.
Purdue University. (2020, March 25). Making 3D cameras easier to use. ScienceDaily. Retrieved February 21, 2024 from www.sciencedaily.com/releases/2020/03/200325143823.htm
Purdue University. "Making 3D cameras easier to use." ScienceDaily. www.sciencedaily.com/releases/2020/03/200325143823.htm (accessed February 21, 2024).

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