DocumentCode :
438867
Title :
3D growing deformable B-surface model for object detection
Author :
Chen, Xujian ; Teoh, Eam Khwang
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Volume :
1
fYear :
2004
fDate :
6-9 Dec. 2004
Firstpage :
357
Abstract :
A new method, called 3D growing deformable B-surface model, is proposed for object detection which works in 3D space directly. First, the coarse boundary of the subject is extracted. The 3D external force field of the subject is generated based on this coarse boundary using modified GVF (gradient vector flow). After the initialization of a surface patch, growing B-surface model starts to deform it to locate the boundary of the object. Next, this surface patch is anchored to the surface of the subject and a new surface patch grows up based it. This process is repeated until a closed surface of the subject is obtained. 3D growing deformable B-surface model overcomes the difficulty that comes from analyzing 3D volume image slice by slice. And the computation load of B-surface is reduced since the internal force is not necessary in every iteration deformation step. Next, the geometric information on every surface point can be calculated easily. And it has the ability Io achieve high compression ratio (the ratio of data to parameters) by presenting the whole surface with only a relatively small number of control points. Growing B-surface model simplifies the initialization step of the surface model.
Keywords :
gradient methods; object detection; 3D external force field; 3D growing deformable B-surface model; 3D space; 3D volume image; coarse boundary; gradient vector flow; high compression ratio; object detection; surface patch; Application software; Computer vision; Deformable models; Image analysis; Image coding; Image segmentation; Object detection; Object recognition; Space technology; Surface reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
Type :
conf
DOI :
10.1109/ICARCV.2004.1468851
Filename :
1468851
Link To Document :
بازگشت