The boundary vector field[1][2] (BVF) is an external force for parametric active contours (i.e. Snakes). In the fields of computer vision and image processing, parametric active contours are widely used for segmentation and object extraction. The active contours move progressively towards its target based on the external forces. There are a number of shortcomings in using the traditional external forces, including the capture range problem, the concave object extraction problem, and high computational requirements.
The BVF is generated by an interpolation scheme[1] which reduces the computational requirement significantly, and at the same time, improves the capture range and concave object extraction capability.
The BVF is also tested in moving object tracking and is proven to provide fast detection method for real time video applications.[3]
^ abK.W. Sum, 2007
^Rafael Verdú-Monedero, 2008
^N. Lin, 2008
and 24 Related for: Boundary vector field information
The boundaryvectorfield (BVF) is an external force for parametric active contours (i.e. Snakes). In the fields of computer vision and image processing...
In vector calculus and physics, a vectorfield is an assignment of a vector to each point in a space, most commonly Euclidean space R n {\displaystyle...
Stokes' theorem applied to an appropriately chosen vectorfield, a boundary integral for the vector area can be derived: S = 1 2 ∮ ∂ S r × d r {\displaystyle...
irrotational (curl-free) vectorfield and a solenoidal (divergence-free) vectorfield. It is named after Hermann von Helmholtz. For a vectorfield F ∈ C 1 ( V ,...
neighbourhood around the point to which they are applied, otherwise the vectorfields and H are not differentiable. In other words, the medium must be continuous...
electric field between atoms is the force responsible for chemical bonding that result in molecules. The electric field is defined as a vectorfield that...
returned vectorfield is equal to the vectorfield of the scalar Laplacian applied to each vector component. The vector Laplacian of a vectorfield A {\displaystyle...
electromagnetism, magnetic vector potential (often called A) is the vector quantity defined so that its curl is equal to the magnetic field: ∇ × A = B {\textstyle...
Vector calculus or vector analysis is a branch of mathematics concerned with the differentiation and integration of vectorfields, primarily in three-dimensional...
along this boundary. dℓ is an infinitesimal vector element of the contour ∂Σ, v is the velocity of the boundary ∂Σ, E is the electric field, B is the magnetic...
corner points on the boundary the normal vector is not well defined. The following applications involve the use of Neumann boundary conditions: In thermodynamics...
vector calculus, divergence is a vector operator that operates on a vectorfield, producing a scalar field giving the quantity of the vectorfield's source...
In many cases one cannot simply say that a field is or is not "evanescent" – having the Poynting vector average to zero in some direction (or all directions)...
) in Euclidean three-space to the line integral of the vectorfield over the surface boundary. The second fundamental theorem of calculus states that...
curve as boundary. Stokes' theorem states that the flux of the curl of a vectorfield is the line integral of the vectorfield over this boundary. This path...
Gradient vector flow (GVF), a computer vision framework introduced by Chenyang Xu and Jerry L. Prince, is the vectorfield that is produced by a process...
actions of R on M. A vectorfield is complete if it generates a global flow. Every smooth vectorfield on a compact manifold without boundary is complete. Relevant...
assigning a vector to each point of space, called a vectorfield (more precisely, a pseudovector field). In electromagnetics, the term magnetic field is used...
In vector calculus, the divergence theorem, also known as Gauss's theorem or Ostrogradsky's theorem, is a theorem relating the flux of a vectorfield through...
sets of algebraic objects related to a vector space. Tensors may map between different objects such as vectors, scalars, and even other tensors. There...
In machine learning, support vector machines (SVMs, also support vector networks) are supervised max-margin models with associated learning algorithms...
monoidal functor from hBordM to the category of vector spaces. Note that cobordisms can, if their boundaries match, be sewn together to form a new bordism...