The Evaluation Methods Based on Image Features Comparison

Cheng Long Xu

doi:10.4028/www.scientific.net/AMM.644-650.4197

Paper Titles

Cloud-Based Recognition Technology for Building Crack
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Research and Exploration on Static Image Compression Technology Based on JPEG2000
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Image Mosaic Technology of Dance Movements Based on Digital Multimedia and Matlab Implementation
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The Evaluation Methods Based on Image Features Comparison
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Mappings from Binary Variables to QAM Symbols and Improvement of Peak Envelope Power of OFDM Systems
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650The Evaluation Methods Based on Image Features...

The Evaluation Methods Based on Image Features Comparison

Abstract:

The paper studies the dancing gestures evaluation method based on images features comparison. The current methods for dancing gestures are according to the people’s vision, which are usually not accurate. Once the dancing is more complex, the conventional methods have the defects of low accuracy. Therefore, this paper proposes an optimized algorithm based on image features comparison for dancing gestures evaluation in which the dancing gestures images are collected. The features in the dancing images are extracted and compared based on the Scale Invariant Feature Transform algorithm (SIFT). The experimental results show that the improved algorithm can increase the accuracy for dancing gestures evaluation greatly.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

4197-4200

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.4197

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Online since:

September 2014

Authors:

Cheng Long Xu*

Keywords:

Feature Extraction, Images, SIFT Algorithm

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* - Corresponding Author

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