Unsupervised Feature Learning for RGB-D Based Object Recognition

Liefeng Bo; Xiaofeng Ren; Dieter Fox

doi:10.1007/978-3-319-00065-7_27

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Unsupervised Feature Learning for RGB-D Based Object Recognition

Liefeng Bo Xiaofeng Ren Dieter Fox

Year: 2013 Springer tracts in advanced robotics Pages: 387-402 Publisher: Springer Nature

DOI: 10.1007/978-3-319-00065-7_27

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Keywords:

Artificial intelligence RGB color model Computer science Pattern recognition (psychology) Feature (linguistics) Computer vision Object (grammar) Coding (social sciences) Matching (statistics) Cognitive neuroscience of visual object recognition Mathematics

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Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Unsupervised Feature Learning for RGB-D Based Object Recognition

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