All-in-Focus Iris Camera With a Great Capture Volume

Imaging volume of an iris recognition system has been restricting the throughput and cooperation convenience in biometric applications. Numerous improvement trials are still impractical to supersede the dominant fixed-focus lens in stand-off iris recognition due to incremental performance increase and complicated optical design. In this study, we develop a novel all-in-focus iris imaging system using a focus-tunable lens and a 2D steering mirror to greatly extend capture volume by spatiotemporal multiplexing method. Our iris imaging depth of field extension system requires no mechanical motion and is capable to adjust the focal plane at extremely high speed. In addition, the motorized reflection mirror adaptively steers the light beam to extend the horizontal and vertical field of views in an active manner. The proposed all-in-focus iris camera increases the depth of field up to 3.9 m which is afactor of 37.5 compared with conventional long focal lens. We also experimentally demonstrate the capability of this 3D light beam steering imaging system in real-time multi-person iris refocusing using dynamic focal stacks and the potential of continuous iris recognition for moving participants.

[1]  Kaijun Yi,et al.  Design of a Long Distance Zoom Lens for Iris Recognition , 2018, CCBR.

[2]  Hiroyasu Koshimizu,et al.  Hierarchical face tracking by using PTZ camera , 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

[3]  In-So Kweon,et al.  Geometric Calibration of Micro-Lens-Based Light Field Cameras Using Line Features , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Tieniu Tan,et al.  Efficient auto-refocusing for light field camera , 2018, Pattern Recognit..

[5]  Yung-Hui Li,et al.  Extending the Capture Volume of an Iris Recognition System Using Wavefront Coding and Super-Resolution , 2016, IEEE Transactions on Cybernetics.

[6]  Yuejin Zhao,et al.  Extended-depth-of-field object detection with wavefront coding imaging system , 2019, Pattern Recognit. Lett..

[7]  V. P. Pauca,et al.  Computational imaging systems for iris recognition , 2004, SPIE Optics + Photonics.

[8]  Shree K. Nayar,et al.  Focal Sweep Camera for Space-Time Refocusing , 2012 .

[9]  Peter Kohl,et al.  Temporal Pixel Multiplexing for simultaneous high-speed high-resolution imaging , 2010, Nature Methods.

[10]  Lauren R. Kennell,et al.  Iris Recognition - Beyond One Meter , 2009, Handbook of Remote Biometrics.

[11]  Marios Savvides,et al.  Long range iris acquisition system for stationary and mobile subjects , 2011, 2011 International Joint Conference on Biometrics (IJCB).

[12]  Arun Ross,et al.  Long range iris recognition: A survey , 2017, Pattern Recognit..

[13]  Shree K. Nayar,et al.  Focal sweep videography with deformable optics , 2013, IEEE International Conference on Computational Photography (ICCP).

[14]  M. Wiener,et al.  Animal eyes. , 1957, The American orthoptic journal.

[15]  Jeffrey N. Stirman,et al.  Wide field-of-view, multi-region two-photon imaging of neuronal activity in the mammalian brain , 2016, Nature Biotechnology.

[16]  V. P. Pauca,et al.  Extended Evaluation of Simulated Wavefront Coding Technology in Iris Recognition , 2007, 2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems.

[17]  M. Blum,et al.  Optotune focus tunable lenses and laser speckle reduction based on electroactive polymers , 2012, Photonics West - Micro and Nano Fabricated Electromechanical and Optical Components.

[18]  Ho Gi Jung,et al.  Non-intrusive Iris Image Capturing System Using Light Stripe Projection and Pan-Tilt-Zoom Camera , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[19]  Marc Levoy,et al.  High performance imaging using large camera arrays , 2005, ACM Trans. Graph..

[20]  Alan C. Bovik,et al.  The Essential Guide to Image Processing , 2009, J. Electronic Imaging.

[21]  James R. Matey,et al.  Iris on the Move: Acquisition of Images for Iris Recognition in Less Constrained Environments , 2006, Proceedings of the IEEE.

[22]  H. Toshiyoshi,et al.  Optically Modulated MEMS scanning endoscope , 2006, IEEE Photonics Technology Letters.

[23]  John Daugman,et al.  The importance of being random: statistical principles of iris recognition , 2003, Pattern Recognit..

[24]  F. Bashir,et al.  Eagle-Eyes: A System for Iris Recognition at a Distance , 2008, 2008 IEEE Conference on Technologies for Homeland Security.