Pattern Recognition System with Top-Down Process of Mental Rotation

A new model which can recognize rotated, distorted, scaled, shifted and noised patterns is proposed. The model is constructed based on psychological experiments in a mental rotation. The model has two types of processes: (i) one is a bottom-up process in which pattern recognition is realized by means of a rotation-invariant neocognitron and a standard neocognitron and (ii) the other is a top-down process in which a mental rotation is executed by means of a model of associative recall in visual pattern recognition. In computer simulations, it is shown that the model can recognize rotated patterns without training those patterns. Keywords. rotation-invariant neocognitron, rotated pattern, mental rotation, topdown process, pattern recognition

• Type: Conference
• Year: 1999
• Where: IWANN
• Authors: Shunji Satoh, Hirotomo Aso, Shogo Miyake, Jousuke Kuroiwa
• Keywords: IWANN 1999, Mental Rotation, Model, Neural Networks, Pattern Recognition