2013 Fiscal Year Final Research Report
Object Segmentation and Successive Modeling Based on Human Action Observation
Project/Area Number |
23500242
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Perception information processing/Intelligent robotics
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Research Institution | Osaka University |
Principal Investigator |
MAE Yasushi 大阪大学, 基礎工学研究科, 准教授 (50304027)
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Project Period (FY) |
2011 – 2013
|
Keywords | 行動環境認識 / 物体モデリング |
Research Abstract |
I developed a method to acquire automatically the appearance model of objects moved by human in everyday environments. It solves the problem that automatic visual segmentation of everyday objects in life environment without specific knowledge about objects. The experimental results show the method can automatically acquire the object images as the appearance models of the objects by using human action which moves objects by hands in everyday life.
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Research Products
(17 results)