A. B. Murynin ,   V. D. Kuznetsov ,   I. A. Matveev SPIE , vol.3516 , 06.1999 , p. 426-432, language: английский  Аннотация Work presented suggests a combined informational space and decision rule for recognition of 3-D objects. The informational space consists of heterogeneous sets of features (i.e. belonging to different spaces), that are object images, images of certain object features and 3-D object surface representation. Decision rule for recognition in this combined space is proposed. The method was tested on a database of human face stereo-images and gave a significant improvement of reliability of automatic recognition system.  Ключевые слова Computer vision, image recognition, principal component analysis   Полный текст     в формате zip