Lightfield imaging for industrial applications

Klaus Illgner; John Restrepo; Sunil Prasad Jaiswal; Ivo Ihrke

doi:10.1117/12.2580328

8 November 2020 Lightfield imaging for industrial applications

Klaus Illgner, John Restrepo, Sunil Prasad Jaiswal, Ivo Ihrke

Proceedings Volume 11525, SPIE Future Sensing Technologies; 1152526 (2020) https://doi.org/10.1117/12.2580328
Event: SPIE Future Sensing Technologies, 2020, Online Only

Conference Poster

Abstract

Lightfield imaging systems were brought to market for consumer and professional media recording. But so far, this technology is less known for applications in the industrial space. The unique optical concept developed by K Lens allows to capture multiple perspectives of a scene with a single exposure as regular colour images on the camera sensor. The current design is tailored to capture 9 different perspectives. Effectively, such a lens turns any camera without any modification of the camera into a 3D camera. It even makes it possible to record 3D video and instantaneously view it in 3D. This technology has unique benefits specifically for applications requiring the inspection of small and deep structures. For example, capturing 3D information of small pins in electric plugs with high walls is possible with such an optical system. The optical concept can be adapted to different measurement volumes. An optimization routine has been developed to identify if there is a solution for a certain application and which performance parameter could be achieved. Two different types of depth estimation algorithms have been developed which utilize the multiple perspectives. While the optical flow based classical approach allows for manual optimization the machine learning (CNN-based) approach appears to be more robust. The paper outlines the technical principles of the optical concept and points out application areas where such an optical concept has unique advantages. It also gives an indication of the achievable performance in terms of depth resolution based on a mathematical simulation model as well as from measurements using a first prototype. Some examples from real objects conclude the paper.

Citation Download Citation

Klaus Illgner, John Restrepo, Sunil Prasad Jaiswal, and Ivo Ihrke "Lightfield imaging for industrial applications", Proc. SPIE 11525, SPIE Future Sensing Technologies, 1152526 (8 November 2020); https://doi.org/10.1117/12.2580328

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available