Signature of position angles histograms for 3D object recognition

Rongrong Lu; Feng Zhu; Yingming Hao; Huiying Cai; Yinshuai Zhao

doi:10.1117/12.2281542

21 July 2017 Signature of position angles histograms for 3D object recognition

Rongrong Lu, Feng Zhu, Yingming Hao, Huiying Cai, Yinshuai Zhao

Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 1042045 (2017) https://doi.org/10.1117/12.2281542
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China

Abstract

This paper presents a robust and rotation invariant local surface descriptor by encoding the position angles of neighboring points with a stable and unique local reference frame (LRF) into a 1D histogram. The whole procedure includes two stages: the first stage is to construct a unique LRF by performing eigenvalue decomposition on the covariance matrix formed using all the neighboring points on the local surface. On the second stage, the sphere support field of a key point was divided along the radius into several sphere shells which is similar with the Signature of Histograms OrienTations (SHOT). In each sphere shell, we calculate the cosine of the angles between the neighboring points and the x-axis, z-axis respectively to form two 1D histograms. Finally, all the 1D histograms were stitched together followed by a normalization to generate the local surface descriptor. Experiment results show that our proposed local feature descriptor is robust to noise and varying mesh-resolutions. Moreover, our local feature descriptor based 3D object recognition algorithm achieved a high average recognition rate of 98.9% on the whole UWA dataset.

Citation Download Citation

Rongrong Lu, Feng Zhu, Yingming Hao, Huiying Cai, and Yinshuai Zhao "Signature of position angles histograms for 3D object recognition", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042045 (21 July 2017); https://doi.org/10.1117/12.2281542

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Object recognition

RELATED CONTENT

Modeling fluorescence LIDAR transmission for underwater object detection and recognition
Proceedings of SPIE (May 15 2014)

Research on object classification based on visual-tactile fusion
Proceedings of SPIE (June 20 2023)

Region based perceptual grouping a cooperative approach based on...
Proceedings of SPIE (February 17 2006)

Interest point detection in wavelet and curvelet domains
Proceedings of SPIE (November 01 2004)

Heterogeneous input neuration for network-based object recognition architectures
Proceedings of SPIE (October 01 1991)

Robust feature detection for 3D object recognition and matching
Proceedings of SPIE (June 23 1993)

3D visual mechinism by neural networkings
Proceedings of SPIE (May 04 2007)

Subscribe to Digital Library

Receive Erratum Email Alert

Keywords/Phrases

Search In:

Publication Years