Unspecified Ziyang Niu Profile

Ziyang Niu

at Zhengzhou Univ.

SPIE Involvement:

Author

Publications (1)

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 | 7 October 2020 Paper

Extraction of depth dimension information from spectral image

Xiaomin Liu, Pengbo Chen, Mengzhu Du, Bingbing Zhang, Ziyang Niu, Xiaofang Zhang, Suxiao Li

Proceedings Volume 11571, 1157116 (2020) https://doi.org/10.1117/12.2580539

KEYWORDS: Imaging spectroscopy, Image fusion, Imaging systems, Hyperspectral imaging, Light sources, RGB color model, Imaging technologies, Image resolution, Image processing

Read Abstract +

Conventional spectral imaging contains two-dimensional and spectral-dimensional information, but lacks spatial depthdimensional information. The light field imaging technique can acquire both intensity and direction information of the light simultaneously, so that the depth information of the target can be extracted and processed. This paper applies light field imaging technology to spectral imaging, builds a spectral light field imaging system with spectral range in the visible band and resolution of 10 nm, and proposes the theory of recovering true color images from spectral dimensional images of the same viewpoint and then performing depth estimation, and realizes an adaptive depth estimation algorithm for multiinformation fusion. The algorithm uses the correspondences information of the angular entropy representation, the scattered focus information of the color similarity constraint to obtain the initial depth and confidence level, and then fuses with the edge information to achieve the depth estimation of the scene. The experimental results show that the algorithm can solve the occlusion problem well and the edge information of the depth map is preserved intact. The theory and algorithm provide new ideas for the three-dimensional modeling of spectral images and lay an experimental foundation for the extension of spectral imaging technology to three-dimensional space and its wide application in object recognition and classification, three-dimensional display, biomedicine and other fields.

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