Share Email Print

Optical Engineering • new

Three-dimensional object recognition using an extensible local surface descriptor
Author(s): Rongrong Lu; Feng Zhu; Qingxiao Wu; Yingming Hao
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper Abstract

We present an extensible local feature descriptor that can encode both geometric and photometric information. We first construct a unique and stable local reference frame (LRF) using the sphere neighboring points of a feature point. Then, all the neighboring points are transformed with the LRF to keep invariance to transformations. The sphere neighboring region is divided into several sphere shells. In each sphere shell, we calculate the cosine values of the point with the x-axis and z-axis. These two values are then mapped into two one-dimensional (1-D) histograms, respectively. Finally, all of the 1-D histograms are concatenated to form the signature of position angles histogram (SPAH) feature. The SPAH feature can easily be extended to a color SPAH (CSPAH) by adding another 1-D histogram generated by the photometric information of each point in each shell. The SPAH and CSPAH were rigorously tested on several common datasets. The experimental results show that both feature descriptors were highly descriptive and robust under Gaussian noise and varying mesh decimations. Moreover, we tested our SPAH- and CSPAH-based three-dimensional object recognition algorithms on four standard datasets. The experimental results show that our algorithms outperformed the state-of-the-art algorithms on these datasets.

Paper Details

Date Published: 27 December 2017
PDF: 13 pages
Opt. Eng. 56(12) 123109 doi: 10.1117/1.OE.56.12.123109
Published in: Optical Engineering Volume 56, Issue 12
Show Author Affiliations
Rongrong Lu, Shenyang Institute of Automation (China)
Univ. of Chinese Academy of Sciences (China)
Feng Zhu, Shenyang Institute of Automation (China)
Qingxiao Wu, Shenyang Institute of Automation (China)
Yingming Hao, Shenyang Institute of Automation (China)

© SPIE. Terms of Use
Back to Top