3D high-resolution multimodal imaging system for real-time applications

Maik Rosenberger; Chen Zhang; Yan Zhang; Gunther Notni

doi:10.1117/12.2558413

21 April 2020 3D high-resolution multimodal imaging system for real-time applications

Maik Rosenberger, Chen Zhang, Yan Zhang, Gunther Notni

Proceedings Volume 11397, Dimensional Optical Metrology and Inspection for Practical Applications IX; 1139704 (2020) https://doi.org/10.1117/12.2558413
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

In this work, we developed a multimodal imaging system for real-time applications by integrating 2D image sensors in different spectral ranges as well as a polarization camera into a high-speed optical 3D sensor. For the generation of the multimodal image data, a pixel-level alignment of 2D images in different modalities to 3D data is realized by applying projection matrices to each point in the 3D point cloud. For the calculation of projection matrices for each 2D image sensor, a calibration procedure is proposed for the extrinsic calibration of arbitrarily positioned image sensors. The final imaging system delivers multimodal video data with one mega-pixel resolution at a frame rate of 30 Hz. As application examples, we demonstrate the estimation of vital signs and the detection of human body parts with this imaging system.

Citation Download Citation

Maik Rosenberger, Chen Zhang, Yan Zhang, and Gunther Notni "3D high-resolution multimodal imaging system for real-time applications", Proc. SPIE 11397, Dimensional Optical Metrology and Inspection for Practical Applications IX, 1139704 (21 April 2020); https://doi.org/10.1117/12.2558413

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KEYWORDS

Cameras

3D image processing

Calibration

Imaging systems

Short wave infrared radiation

Polarization

Sensors

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