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3-D Object Map Building Using Dense Object Models with SIFT-based Recognition Features

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1 Author(s)
Tomono, M. ; Dept. of Syst. Robotics, Toyo Univ., Saitama

This paper presents a method of object map building using object models created from image sequences captured by a single camera. Object map is a highly structured map, which is built by placing 3-D object models on the floor plane according to object recognition results. To increase the efficiency of object map building, we propose a framework to integrate dense shape and recognition features into an object model. Experimental results show that an object map of a room was built successfully using the proposed object models

Published in:

Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on

Date of Conference:

9-15 Oct. 2006

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