RGB-D Hand-Held Object Recognition Based on Heterogeneous Feature Fusion

Lv Xiong; Shuqiang Jiang; Luis Herranz; Shuang Wang

doi:10.1007/s11390-015-1527-0

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RGB-D Hand-Held Object Recognition Based on Heterogeneous Feature Fusion

Lv Xiong Shuqiang Jiang Luis Herranz Shuang Wang

Year: 2015 Journal: Journal of Computer Science and Technology Vol: 30 (2)Pages: 340-352 Publisher: Springer Science+Business Media

DOI: 10.1007/s11390-015-1527-0

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Keywords:

Computer science Artificial intelligence Object (grammar) RGB color model Cognitive neuroscience of visual object recognition Feature (linguistics) Similarity (geometry) Class (philosophy) Computer vision Pattern recognition (psychology) Exploit Feature extraction Machine learning Image (mathematics)

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Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

RGB-D Hand-Held Object Recognition Based on Heterogeneous Feature Fusion

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