3D growing deformable B-surface model for object detection

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 eld pound of the subject is generated based on this coarse boundary using modi ed pound GVF (gradient vector mow). 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 dif culty pound 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 to achieve high compression ratio (ratio of data to parameters) by presenting the whole surface with only a relatively small number of control points. Growing B-Surface model simplifes the initialization step of the surface model.