IJIS  Vol.2 No.2 , April 2012
Multi-Scale Object Perception with Embedding Textural Space
Abstract: 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.
Cite this paper: 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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