3D object recognition based on pairwise Multi-view Convolutional Neural Networks
3D object recognition based on pairwise Multi-view Convolutional Neural Networks is a scholarly work, published in 2018 in ''Journal of Visual Communication and Image Representation''. The main subjects of the publication include political representation, pooling, object, convolutional neural network, deep learning, artificial intelligence, feature extraction, Pairwise comparison, feature, cognitive neuroscience of visual object recognition, feature learning, pattern recognition, and computer science. The authors propose a novel pairwise Multi-View Convolutional Neural Network for 3D Object Recognition (PMV-CNN for short), where automatic feature extraction and object recognition are put into a unify CNN architecture.