Dr. Chenyang Wu Profile

Dr. Chenyang Wu

at Fudan University

SPIE Involvement:

Author

Publications (2)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 13 March 2024 Presentation + Paper

Programmable structured light using metasurface optics and individually addressable VCSEL array

Chenyang Wu, Xuanlun Huang, Yipeng Ji, Tingyu Cheng, Jiaxing Wang, Connie Chang-Hasnain

Proceedings Volume 12897, 1289704 (2024) https://doi.org/10.1117/12.3000855

KEYWORDS: Vertical cavity surface emitting lasers, Structured light, Speckle pattern, Metamaterials

Read Abstract +

Structured-light based 3D sensing technology has been widely used in machine vision, face recognition, and unmanned driving due to high spatial resolution, miniaturized size, large field of view (FOV), and strong anti-interference capability. Speckle structured light is one kind of structure light method. For speckle structured light, certain designed structured projected dot pattern is usually generated by fixed random patterned vertical-cavity surface-emitting laser (VCSEL) array beam duplicated by diffraction optical elements (DOE). This method is conventionally static and non-programmable, resulting in low flexibility. In this paper, a novel programmable structured light is implemented by combining a siliconon-insulator (SOI) reflective metasurface and an individually addressable vertical-cavity surface-emitting laser (VCSEL) array chip. The designed individually addressable VCSEL array is composed of 8 by 8 VCSELs with 100um pitch. These VCSELs share the same cathode, but anodes are separated for on-off switching. The SOI consists of a 3um intermediate SiO2 layer and 340nm Si top layer. Si nanorods are formed by etching the Si top layer. The dimension and rotation of the nanorods are carefully designed so that different VCSEL from the VCSEL array creates speckle pattern with steerable position. By coding the VCSEL on-off states in the VCSEL array, programmable structured light and dynamic speckle density adjustment is achieved. We experimentally demonstrated the new method can get micron level precision which is much better than conventional method. Moreover, great potential is also found for eye movement tracking with the new method. Prototype model for AR/VR glasses application is proposed.

Proceedings Article | 4 October 2017 Presentation + Paper

L1 regularization recovered SAR images based interferometric SAR imaging via complex approximated message passing

Chenyang Wu, Hui Bi, Bingchen Zhang, Yun Lin, Wen Hong

Proceedings Volume 10427, 1042717 (2017) https://doi.org/10.1117/12.2278048

KEYWORDS: Synthetic aperture radar, Interferometry, Phase interferometry, Interferometric synthetic aperture radar, Reconstruction algorithms, Image processing

Read Abstract +

This paper presents an interferometric synthetic aperture radar (InSAR) imaging method based on L₁ regularization reconstruction model for SAR complex-image and raw data via complex approximated message passing (CAMP) with joint reconstruction model. As an iterative recovery algorithm for L1 regularization, CAMP can not only obtain the sparse estimation of considered scene as other regularization recovery algorithms, but also a non-sparse solution with preserved background information, thus can be used to InSAR processing. The contributions of the proposed method are as follows. On the one hand, as multiple SAR complex images are strongly correlated, single-channel independent reconstruction via Lq regularization cannot preserve the interferometric phase information, while the proposed mixed norm-based L₁ regularization joint reconstruction model via CAMP algorithm can ensure the preservation of interferometric phase information among multiple channels. On the other hand, the interferogram reconstructed by the proposed CAMP-based InSAR imaging with joint reconstruction model can improve the performance of noise reduction efficiently compared with conventional matched filtering (MF) results. Experiments carried out on simulated and real data confirmed the feasibility of the L₁ regularization joint reconstruction model via CAMP for InSAR processing with preserved interferometric phase information and better noise reduction performance.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years