TITLE:
Multi-Scale Object Perception with Embedding Textural Space
AUTHORS:
Kewei Wu, Zhao Xie, Jun Gao
KEYWORDS:
Object Perception; Scale Space; Textural Manifold; Quad-Tree Structure; Nonparametric Estimation
JOURNAL NAME:
International Journal of Intelligence Science,
Vol.2 No.2,
April
24,
2012
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.