DocumentCode :
1749042
Title :
How does our neural system represent an object in brain (Recognition-by-Element)
Author :
Wang, Tianzhen
Author_Institution :
Digital Image Process. Lab., Wuhan Univ. of Technol., China
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
103
Abstract :
In the paper a theory of human image understanding, Recognition-by-Element (RBE), is presented that suggests that the representation of an object may be a set that consists of many members, called elements, most of them are 2D projections (images) of the 3D object to the retina from a specific viewpoint, in specific illumination, specific background, and so on, these 2D images encoding, storing, and retrieving globally, the rest are other sensor inputs evoked by the object, such as voices, tastes, smells, tactilities, etc. The model can explain the implicit memory, perceptual constancies, hand and face detectors, and the cases of object recognition impairment. A computer program has been developed to simulate the RBE, the result is satisfactory
Keywords :
brain models; image segmentation; neurophysiology; object recognition; 2D projections; 3D object; Recognition-by-Element; brain; face detectors; hand detectors; human image understanding; implicit memory; neural system; object recognition impairment; object representation; perceptual constancies; retina; smells; tactilities; tastes; voices; Face detection; Humans; Image coding; Image recognition; Image retrieval; Image sensors; Lighting; Retina; Speech recognition; Tactile sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
ISSN :
1098-7576
Print_ISBN :
0-7803-7044-9
Type :
conf
DOI :
10.1109/IJCNN.2001.939000
Filename :
939000
Link To Document :
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