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

    recognition of 3-D objects
    computer vision
    human face recognition
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