A coarse registration method of range image based on SIFT

Xiaoli Liu; Xiang Peng; Yongkai Yin; Jindong Tian; Ameng Li; Xiaobo Zhao

doi:10.1117/12.756264

28 November 2007 A coarse registration method of range image based on SIFT

Xiaoli Liu, Xiang Peng, Yongkai Yin, Jindong Tian, Ameng Li, Xiaobo Zhao

Proceedings Volume 6833, Electronic Imaging and Multimedia Technology V; 68330X (2007) https://doi.org/10.1117/12.756264
Event: Photonics Asia 2007, 2007, Beijing, China

Abstract

A novel method for the coarse registration of range images is proposed. This approach is based on texture-feature recognition. As the development of optical digitizing technique, it is now able to acquire the range images and associated texture images sequentially or simultaneously. It's possible to identify the range feature points through texture feature points. Scale Invariant Feature Transform (SIFT) is an efficient method for texture feature generation. SIFT transforms texture image into a large collection of local feature vectors, each of which is invariant to image scaling, translation, and rotation. The mismatched correspondence pairs can be discarded using random sample consensus algorithm based on epipolar geometry constraint. We select more than three well-registered texture-feature pairs, with which we could find the associated range-feature pairs of the range images. Initial pose estimation of the two involved range images can be computed by these range pairs, and the fine registration is implemented using iterative closest point (ICP) algorithm. Our approach utilizes the texture information to register the range images, leading to a technique that can be automatically performed while the influence of 3D noise can be avoided. The experiment results demonstrate that the proposed approach is efficient and robust for the registration of multiple range images.

Citation Download Citation

Xiaoli Liu, Xiang Peng, Yongkai Yin, Jindong Tian, Ameng Li, and Xiaobo Zhao "A coarse registration method of range image based on SIFT", Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 68330X (28 November 2007); https://doi.org/10.1117/12.756264

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