Part Segmentation for Object Recognition

被引：22

作者：

Pentland, Alex ^{[1
]}

机构：

[1] MIT, Media Lab, Vis Sci Grp, Room E15-410,20 Ames St, Cambridge, MA 02139 USA

来源：

NEURAL COMPUTATION | 1989年 / 1卷 / 01期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1162/neco.1989.1.1.82

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Visual object recognition is a difficult problem that has been solved by biological visual systems. An approach to object recognition is described in which the image is segmented into parts using two simple, biologically-plausible mechanisms: a filtering operation to produce a large set of potential object "parts," followed by a new type of network that searches among these part hypotheses to produce the simplest, most likely description of the image's part structure.

引用

页码：82 / 91

页数：10

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