Revisiting Deep Convolutional Neural Networks for RGB-D Based Object Recognition

Lorand Madai-Tahy; Sebastian Otte; Richard Hanten; Andreas Zell

doi:10.1007/978-3-319-44781-0_4

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Revisiting Deep Convolutional Neural Networks for RGB-D Based Object Recognition

Lorand Madai-Tahy Sebastian Otte Richard Hanten Andreas Zell

Year: 2016 Lecture notes in computer science Pages: 29-37 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-44781-0_4

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Keywords:

Computer science Convolutional neural network Artificial intelligence Cognitive neuroscience of visual object recognition RGB color model Object (grammar) Pattern recognition (psychology) Computer vision Deep learning Artificial neural network

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Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Revisiting Deep Convolutional Neural Networks for RGB-D Based Object Recognition

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