Ms. Huihui Xu Profile

Huihui Xu

at Shandong Jianzhu University

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 | 16 February 2022 Paper

Detail preserving depth prediction from a single image based on multi-scale deep network and gradient network

Huihui Xu, Liu Nan

Proceedings Volume 12083, 120830J (2022) https://doi.org/10.1117/12.2623204

KEYWORDS: Network architectures, Convolution, Feature extraction, 3D image processing, Machine vision

Read Abstract +

redicting a convincing depth map from a monocular RGB image is a daunting task in the field of computer vision. An efficient detail preserving depth prediction algorithm on the basis of multi-scale deep network and gradient network is presented in this paper. Specifically, the proposed method leverage the designed multi-scale deep network to obtain the global depth image from training datasets. Moreover, a depth gradient generation strategy on the basis of gradient network, which permits us to obtain the local depth detail information of the scene is developed. In the end, the reliable depth map with better details could be reconstructed via merging the depth gradient and depth information on the basis of the optimization algorithm. Experimental results evaluated from the qualitative and quantitative perspective on the Make 3D and NYUv2 datasets indicate that the designed depth prediction scheme is superior to several depth estimation approaches, and can reconstruct plausible depths

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