Paper Info
Title
Cube Detection and Pose Estimation Using Property of a Cube with Evolutionary Method
Abstract
In this paper, we propose a pose estimation method of an object in three-dimensional space without the pre-learning for AR application in the mobile device. One of the implementation methods of augmented reality is using a two dimensional marker. A two-dimensional marker is not robust in the case of change in complicated three-dimensional rotation. In our work, this problem is solved by a three-dimensional marker using a cube. In the study of a pose estimation of the three-dimensional object, a model-based method using evolutionary method has been proposed. This method cannot estimate all poses, because the rotation angle of the target object is limited. In this paper, we propose the pose estimation method of a cube using a property of cube with evolutionary method. This method is possible to estimate all pose by using property related to rotation of the cube. We evaluated the proposed method by experiments using the static image of object in real-world.
Year
DOI
Venue
2013
10.1109/CW.2013.24
Cyberworlds
Keywords
Field
DocType
evolutionary method,complicated three-dimensional rotation,three-dimensional marker,cube detection,target object,three-dimensional object,three-dimensional space,pose estimation,implementation method,estimation method,model-based method,evolutionary computation,augmented reality,edge detection
Template matching,Computer vision,Edge detection,Computer science,3D pose estimation,Evolutionary computation,Pose,Artificial intelligence,Genetic algorithm,Data cube,Cube
Conference
ISBN
Citations 
PageRank 
978-1-4799-2245-1
0
0.34
References 
Authors
4
2
Name
Order
Citations
PageRank
Kazuki Hiyama100.34
Takuya Akashi2209.57