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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

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.

Conflicts of Interest

The authors declare no conflicts of interest.

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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