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Multi-Scale Object Perception with Embedding Textural Space

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DOI: 10.4236/ijis.2012.22005    3,742 Downloads   7,408 Views   Citations


This paper mainly focuses on the issues about generic multi-scale object perception for detection or recognition. A novel computational model in visually-feature space is presented for scene & object representation to purse the underlying textural manifold statistically in nonparametric manner. The associative method approximately makes perceptual hierarchy in human-vision biologically coherency in specific quad-tree-pyramid structure, and the appropriate scale-value of different objects can automatically be selected by evaluating from well-defined scale function without any priori knowledge. The sufficient experiments truly demonstrate the effectiveness of scale determination in textural manifold with object localization rapidly.

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The authors declare no conflicts of interest.

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K. Wu, Z. Xie and J. Gao, "Multi-Scale Object Perception with Embedding Textural Space," International Journal of Intelligence Science, Vol. 2 No. 2, 2012, pp. 32-39. doi: 10.4236/ijis.2012.22005.


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