1A1-M02 Construction of Three-Dimensional Object Model using Visual ID Tags and Image Features under Complex Background Images : Update of object model based on pose estimation result(Integrating Ambient Intelligence)

Abstract

This paper describe a method for construction of an object shape model and estimation of the three dimensional pose (position and orientation) of the object using the shape model based on a combination of visual ID tags and three-dimensional natural feature points. We construct a feature points-based shape model by capturing visual ID tags and feature points of the image with a monocular camera. To estimate the object pose, the method assigns the 3D feature points to the capture image using SIFT features. In this paper, we focus on update of the object model using the pose-estimation results and pose estimation of a marker-less object. Experimental results show feasibility of the proposed method.