Optimization of informative components for 3D object recognition

Общая информация

 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
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