3D point cloud registration based on the assistant camera and Harris-SIFT

Yue Zhang; HongYang Yu

doi:10.1117/12.2242995

11 July 2016 3D point cloud registration based on the assistant camera and Harris-SIFT

Yue Zhang, HongYang Yu

Proceedings Volume 10011, First International Workshop on Pattern Recognition; 100110U (2016) https://doi.org/10.1117/12.2242995
Event: First International Workshop on Pattern Recognition, 2016, Tokyo, Japan

Abstract

3D(Three-Dimensional) point cloud registration technology is the hot topic in the field of 3D reconstruction, but most of the registration method is not real-time and ineffective. This paper proposes a point cloud registration method of 3D reconstruction based on Harris-SIFT and assistant camera. The assistant camera is used to pinpoint mobile 3D reconstruction device, The feature points of images are detected by using Harris operator, the main orientation for each feature point is calculated, and lastly, the feature point descriptors are generated after rotating the coordinates of the descriptors relative to the feature points’ main orientations. Experimental results of demonstrate the effectiveness of the proposed method.

Citation Download Citation

Yue Zhang and HongYang Yu "3D point cloud registration based on the assistant camera and Harris-SIFT", Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100110U (11 July 2016); https://doi.org/10.1117/12.2242995

ACCESS THE FULL ARTICLE

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