Prof. Gordon Wetzstein Profile

Prof. Gordon Wetzstein

Assoc. Prof, Electrical Engineering & Computer Sci at Stanford Univ

SPIE Involvement:

Conference Program Committee | Author

SPIE Journal Paper | 7 October 2024 Open Access

Superresolution imaging using superoscillatory diffractive neural networks

Hang Chen, Sheng Gao, Haiou Zhang, Zejia Zhao, Zhengyang Duan, Gordon Wetzstein, Xing Lin

AP, Vol. 6, Issue 05, 056004, (October 2024) https://doi.org/10.1117/12.10.1117/1.AP.6.5.056004

KEYWORDS: Biological imaging, Modulation, Design, Super resolution, Neural networks, Optical components, Diffraction limit, Near field optics, Chemical elements, Reflection

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Proceedings Article | 15 March 2023 Presentation + Paper

Deep optics: learning cameras and optical computing systems

Gordon Wetzstein

Proceedings Volume 12438, 124380A (2023) https://doi.org/10.1117/12.2646050

KEYWORDS: Image processing, Imaging systems, Computing systems, Optical computing, Evolutionary algorithms, Mathematical optimization, Cameras, Reconstruction algorithms, Machine learning, Design and modelling

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Proceedings Article | 15 March 2023 Presentation + Paper

Partially coherent neural holography with fast spatial light modulators

Suyeon Choi, Manu Gopakumar, Yifan Peng, Jonghyun Kim, Matthew O'Toole, Gordon Wetzstein

Proceedings Volume 12435, 1243502 (2023) https://doi.org/10.1117/12.2655404

KEYWORDS: Spatial light modulators, Computer generated holography, Holographic displays, Machine learning, Holography, 3D modeling, 3D image processing, 3D acquisition, Quantization, Image quality

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Proceedings Article | 8 March 2023 Presentation + Paper

Enabling ultra-compact, high-quality 3D displays with neural holography

Manu Gopakumar, Suyeon Choi, Jonghyun Kim, Yifan Peng, Gordon Wetzstein

Proceedings Volume 12445, 124450C (2023) https://doi.org/10.1117/12.2655127

KEYWORDS: Holographic displays, Image quality, Wave propagation, Holography, Machine learning, Holograms, Computer generated holography, 3D displays

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Proceedings Article | 28 March 2021 Presentation + Paper

High-quality holographic displays using double SLMs and camera-in-the-loop optimization

Suyeon Choi, Yifan Peng, Jonghyun Kim, Gordon Wetzstein

Proceedings Volume 11765, 117650R (2021) https://doi.org/10.1117/12.2584044

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Proceedings Article | 23 April 2020 Presentation + Paper

Efficient non-line-of-sight imaging with computational single-photon imaging

David Lindell, Matthew O'Toole, Gordon Wetzstein

Proceedings Volume 11386, 113860C (2020) https://doi.org/10.1117/12.2559217

KEYWORDS: Non-line-of-sight propagation, Imaging systems, Sensors, Image acquisition, Reflectivity, Image resolution, Reconstruction algorithms, Temporal resolution, Light scattering, Confocal microscopy

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Proceedings Article | 2 April 2020 Open Access

Computational Eyeglasses and Near-Eye Displays with Focus Cues (Conference Presentation)

Gordon Wetzstein

Proceedings Volume 11310, 113101K (2020) https://doi.org/10.1117/12.2566399

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Proceedings Article | 16 March 2020 Paper

Comparison of head pose tracking methods for mixed-reality neuronavigation for transcranial magnetic stimulation

Supriya Sathyanarayana, Christoph Leuze, Brian Hargreaves, Bruce Daniel, Gordon Wetzstein, Amit Etkin, Mahendra Bhati, Jennifer McNab

Proceedings Volume 11315, 113150L (2020) https://doi.org/10.1117/12.2547917

KEYWORDS: Head, Cameras, Calibration, Mixed reality, Brain

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Purpose: Repetitive Transcranial Magnetic Stimulation (rTMS) is an important treatment option for medication resistant depression. It uses an electromagnetic coil that needs to be positioned accurately at a specific location and angle next to the head such that specific brain areas are stimulated. Existing image-guided neuronavigation systems allow accurate targeting but add cost, training and setup times, preventing their wide-spread use in the clinic. Mixed-reality neuronavigation can help mitigate these issues and thereby enable more widespread use of image-based neuronavigation by providing a much more intuitive and streamlined visualization of the target. A mixed-reality neuronavigation system requires two core functionalities: 1) tracking of the patient's head and 2) visualization of targeting-related information. Here we focus on the head tracking functionality and compare three different head tracking methods for a mixed-reality neuronavigation system. Methods: We integrated three head tracking methods into the mixed reality neuronavigation framework and measured their accuracy. Specifically, we experimented with (a) marker-based tracking with a mixed reality headset (optical see-through head-mounted display (OST-HMD)) camera, (b) marker-based tracking with a world-anchored camera and (c) markerless RGB-depth (RGB-D) tracking with a world-anchored camera. To measure the accuracy of each approach, we measured the distance between real-world and virtual target points on a mannequin head. Results: The mean tracking error for the initial head pose and the head rotated by 10° and 30° for the three methods respectively was: (a) 3.54±1.10 mm, 3.79±1.78 mm and 4.08±1.88 mm, (b) 3.97±1.41 mm, 6.01±2.51 mm and 6.84±3.48 mm, (c) 3.16±2.26 mm, 4.46±2.30 mm and 5.83±3.70 mm. Conclusion: For the initial head pose, all three methods achieved the required accuracy of < 5 mm for TMS treatment. For smaller head rotations of 10°, only the marker-based (a) and markerless method (c) delivered sufficient accuracy for TMS treatment. For larger head rotations of 30°, only the marker-based method (a) achieved sufficient accuracy. While the markerless method (c) did not provide sufficient accuracy for TMS at the larger head rotations, it offers significant advantages such as occlusion-handling and stability and could potentially meet the accuracy requirements with further methodological refinements.

Proceedings Article | 15 October 2012 Paper

Light field optical flow for refractive surface reconstruction

Emishaw Iffa, Gordon Wetzstein, Wolfgang Heidrich

Proceedings Volume 8499, 84992H (2012) https://doi.org/10.1117/12.981608

KEYWORDS: Electroluminescent displays, Cameras, Refraction, Optical flow, Calibration, Data modeling, Reconstruction algorithms, Motion estimation, Visualization, Spatial resolution

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Proceedings Article | 7 February 2012 Paper

Beyond parallax barriers: applying formal optimization methods to multilayer automultiscopic displays

Douglas Lanman, Gordon Wetzstein, Matthew Hirsch, Wolfgang Heidrich, Ramesh Raskar

Proceedings Volume 8288, 82880A (2012) https://doi.org/10.1117/12.907146

KEYWORDS: LCDs, 3D displays, Polarization, 3D volumetric displays, Spatial resolution, Prototyping, Opacity, Integral imaging, Signal attenuation, Convolution

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Proceedings Article | 21 April 2005 Paper

Interacting with augmented holograms

Oliver Bimber, Thomas Zeidler, Anselm Grundhoefer, Gordon Wetzstein, Mathias Moehring, Sebastian Knoedel, Uwe Hahne

Proceedings Volume 5742, (2005) https://doi.org/10.1117/12.596860

KEYWORDS: Holograms, Holography, Visualization, Digital holography, Computer graphics, Projection systems, Scanners, Multiplexing, LCDs, Prototyping

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Showing 5 of 11 publications

Conference Committee Involvement (13)

Digital Optical Technologies 2025

23 June 2025 | Munich, Germany

Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) VI

27 January 2025 | San Francisco, California, United States

Optoelectronic Imaging and Multimedia Technology XI

13 October 2024 | Nantong, Jiangsu, China

Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) V

29 January 2024 | San Francisco, California, United States

Optoelectronic Imaging and Multimedia Technology X

15 October 2023 | Beijing, China

Showing 5 of 13 Conference Committees

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