A Novel Hierarchical Object Recognition Algorithm Based on Saliency Analysis

A fast hierarchical algorithm based on saliency analysis for 3D-object recognition is proposed to eliminate the large and complex computation of the present pattern recognition system based on RGB-D image classification method. Firstly, the process of establishing the key point set of the 3D-object...

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Bibliographic Details
Published in:Chinese Control Conference pp. 6115 - 6120
Main Authors: Hu, Yueming, Li, Yi
Format: Conference Proceeding
Language:English
Published: Technical Committee on Control Theory, Chinese Association of Automation 01.07.2018
Subjects:
3D-reconstruction
Classification algorithms
Feature extraction
Image recognition
Lasers
Object recognition
RGB-D image recognition
Saliency analysis
Shape
Structured light
Three-dimensional displays
ISSN:1934-1768
Online Access:Get full text
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Summary:A fast hierarchical algorithm based on saliency analysis for 3D-object recognition is proposed to eliminate the large and complex computation of the present pattern recognition system based on RGB-D image classification method. Firstly, the process of establishing the key point set of the 3D-object is described. Secondly, a hierarchical recognition algorithm based on the proper four description operators is presented to sketch the process requirements and calculation rules. The time complexity of the four descriptors contained in the proposed hierarchical algorithm is also analyzed to illustrate the rapidity of this algorithm. Finally, experiments are performed to show that the accuracy and rapidity of the algorithm improved greatly, compared with the general recognition algorithm based on PFH descriptor or S-NARF descriptor alone.
ISSN:1934-1768
DOI:10.23919/ChiCC.2018.8483402