A paradigm for invariant object recognition of brightness, optical flow and binocular disparity images

被引：23

作者：

Jacobson, Lowell ^{[1
]}

Wechsler, Harry ^{[1
]}

机构：

[1] Univ Minnesota, Dept Elect Engn, Minneapolis, MN 55455 USA

来源：

PATTERN RECOGNITION LETTERS | 1982年 / 1卷 / 01期

基金：

美国国家科学基金会;

关键词：

Binocular disparity; invariant object recognition; spatial-frequency analysis; optical flow; Wigner distribution;

D O I：

10.1016/0167-8655(82)90053-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We suggest the Wigner distribution (WD) for the analysis of 2-D images. The WD can be used to rigorously define a local power-spectrum at each point of an image. Furthermore, an invariant representation of a given image can he obtained by applying a complex-logarithmic (CL) conformal mapping to the spatial-frequency domain of the WD. The representation is such that all local spectra are invariant, within a linear shift, with respect to linear transformations of the image. A discrete WD has been implemented and results are shown. We next describe how the same CL-mapped WD of a scalar or vector field could be used for binocular disparity and motion analysis, respectively, where the goal is object recognition.

引用

页码：61 / 68

页数：8

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