Model-based object recognition using a hierarchical node structure
Masao Izumi, Hiroki Kawakami, KEIJI AOKI, Kunio Fukunaga · International Journal of Electronics · 1993
Object recognition is discussed using a hierarchical node structure based on an aspect graph approach. Recognition is carried out by comparing hierarchically an input image with aspect images of the model database represented by the three levels, ‘the fine level’, ‘the intermediate level’ and ‘the coarse level’. Matching at the coarse level and intermediate level is used for narrowing down the candidates of the object appearing in the input image, then matching at the fine level is used to discriminate the object.