Imaging Components, Systems, and Processing

Target recognition for ladar range image using slice image

[+] Author Affiliations
Wenze Xia, Shaokun Han, Liang Wang

Beijing Institute of Technology, School of Optoelectronics, No. 5 Zhongguancun South Street, Beijing 100081, China

Opt. Eng. 54(12), 123107 (Dec 17, 2015). doi:10.1117/1.OE.54.12.123107
History: Received May 7, 2015; Accepted November 6, 2015
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Abstract.  A shape descriptor and a complete shape-based recognition system using slice images as geometric feature descriptor for ladar range images are introduced. A slice image is a two-dimensional image generated by three-dimensional Hough transform and the corresponding mathematical transformation. The system consists of two processes, the model library construction and recognition. In the model library construction process, a series of range images are obtained after the model object is sampled at preset attitude angles. Then, all the range images are converted into slice images. The number of slice images is reduced by clustering analysis and finding a representation to reduce the size of the model library. In the recognition process, the slice image of the scene is compared with the slice image in the model library. The recognition results depend on the comparison. Simulated ladar range images are used to analyze the recognition and misjudgment rates, and comparison between the slice image representation method and moment invariants representation method is performed. The experimental results show that whether in conditions without noise or with ladar noise, the system has a high recognition rate and low misjudgment rate. The comparison experiment demonstrates that the slice image has better representation ability than moment invariants.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Wenze Xia ; Shaokun Han and Liang Wang
"Target recognition for ladar range image using slice image", Opt. Eng. 54(12), 123107 (Dec 17, 2015). ; http://dx.doi.org/10.1117/1.OE.54.12.123107


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