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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Veröffentlicht in:Chinese Control Conference S. 6115 - 6120
Hauptverfasser: Hu, Yueming, Li, Yi
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: Technical Committee on Control Theory, Chinese Association of Automation 01.07.2018
Schlagworte:
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
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Zusammenfassung: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