Ms. Li Zhen Profile

Li Zhen

at China Univ of Geosciences

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 | 27 October 2013 Paper

Planar feature fitting based on Multi-BaySAC algorithm

Zhen Li, Zhizhong Kang

Proceedings Volume 8919, 89190U (2013) https://doi.org/10.1117/12.2031402

KEYWORDS: Data modeling, Clouds, Buildings, Mathematical modeling, Statistical modeling, 3D modeling, Image segmentation, Laser scanners, Earth sciences, 3D scanning

Read Abstract +

To tackle the problem that classic RANSAC (Random Sample Consensus) is limited by the assumption that a single model accounts for all of the data inliers, an algorithm of multi-planar-feature fitting from 3D point cloud based on BaySAC algorithm (Bayes Sample Consensus) is proposed (called multiBaySAC). First, as the mathematical models of most of primitives to be fitted are determinate, a statistical algorithm of hypothesis model parameters histogram is proposed to detect potential planar features. Instead of assuming constant prior probabilities of data points and choosing initial data sets by random as RANSAC, we then implement a conditional sampling method -- BaySAC for robust parameters estimation of potential planar features, by computing the prior probability of each data point and updating the inlier probabilities using simplified Bayes’ rule. For the purpose of multiple feature fitting, the sequential application of the above procedure is implemented following the removal of the detected set of inliers. The proposed approach is tested with point cloud data of buildings acquired by RIEGL VZ-400 laser scanner. The results show that the proposed Multi-BaySAC can achieve high computation efficiency and fitting accuracy of multiple planar feature fitting.

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