Paper Info
Title
Fast alignment of 3D geometrical models and 2D color images using 2D distance maps
Abstract
This paper presents a fast pose estimation algorithm of a 3D free form object in 2D images using 2D distance maps. One of the popular techniques of the pose estimation of 3D object in 2D image is the point-based method such as the ICP algorithm. However, the calculation cost for determining point correspondences is expensive. To overcome this problem, the proposed method utilizes a distance map on the 2D image plane, which is constructed quite rapidly by the fast marching method. For pose estimation of the object, contour lines of the 2D image and the projection of the 3D object are aligned using the distance map iteratively by the robust m-estimator. Some experimental results with simulated models and actual images of the endoscopic operation are successfully carried out.
Year
DOI
Venue
2005
10.1109/3DIM.2005.39
3DIM
Keywords
Field
DocType
computational geometry,image colour analysis,image registration,motion estimation,solid modelling,stereo image processing,2D color images,2D distance maps,3D free form object,3D geometrical models,fast marching,fast pose estimation,robust m-estimator
Computer vision,Fast marching method,Computer science,Binary image,Image plane,3D pose estimation,Image processing,Image segmentation,Pose,Distance transform,Artificial intelligence
Conference
ISSN
ISBN
Citations 
1550-6185
0-7695-2327-7
7
PageRank 
References 
Authors
0.70
16
4
Name
Order
Citations
PageRank
Yumi Iwashita121223.59
Ryo Kurazume262274.18
Tsutomu Hasegawa348571.41
Kenji Hara48811.63