Results 181 to 190 of about 62,644 (199)
Some of the next articles are maybe not open access.

Saliency Level Set Evolution

2014
In this paper, we consider saliency detection problems from a unique perspective. We provide an implicit representation for the saliency map using level set evolution (LSE), and then combine LSE approach with energy functional minimization (EFM). Instead of introducing sophisticated segmentation procedures, we propose a flexible and lightweight LSE-EFM
Jincheng Mei, Bao-Liang Lu
openaire   +1 more source

RLE sparse level sets

ACM SIGGRAPH 2004 Sketches on - SIGGRAPH '04, 2004
The RLE sparse level set representation has many beneficial characteristics: (1) highly scalable, (2) fast to access randomly, (3) sequential traversal of the narrow band is optimal, (4) approximate distance values are provided throughout the bounding volume, and (5) easily adapted to work with the large majority of existing level set methods developed
Ben Houston   +2 more
openaire   +1 more source

On the Integration of Fuzzy Level Sets

2015
We study the integration of fuzzy level sets associated with a fuzzy random variable when the underlying space is a separable Banach space or a weak star dual of a separable Banach space. In particular, the expectation and the conditional expectation of fuzzy level sets in this setting are presented.
Castaing, Charles   +3 more
openaire   +2 more sources

Mutual Segmentation with Level Sets

2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06), 2006
We suggest a novel variational approach for mutual segmentation of two images of the same object. The images are taken from different views, related by projective transformation. Each of the two images may not provide sufficient information for correct object-background delineation.
Tammy Riklin-Raviv   +2 more
openaire   +1 more source

Level-Set Curve Particles

2006
In many applications it is necessary to track a moving and deforming boundary on the plane from infrequent, sparse measurements. For instance, each of a set of mobile observers may be able to tell the position of a point on the boundary. Often boundary components split, merge, appear, and disappear over time. Data are typically sparse and noisy and the
Tingting Jiang 0001, Carlo Tomasi
openaire   +1 more source

On Polynomials with Related Level Sets

Canadian Mathematical Bulletin, 1970
If p is a polynomial in one real variable and p(x) = p(-x) then p has only even powers of x and is thus a polynomial in x2. If p is a polynomial in n variables and p(x1, …, xn) = p(y1, …, yn) when x12 + … + xn2 = y12+ … + yn2 then p is a polynomial in q where q(x1, …, xn) = x12 + … + xn2.
openaire   +2 more sources

Level Sets and Distance Functions

2000
This paper is concerned with the simulation of the Partial Differential Equation (PDE) driven evolution of a closed surface by means of an implicit representation. In most applications, the natural choice for the implicit representation is the signed distance function to the closed surface. Osher and Sethian propose to evolve the distance function with
José Gomes, Olivier D. Faugeras
openaire   +1 more source

Dictionary Learning Level Set

IEEE Signal Processing Letters, 2015
We propose a novel region based segmentation technique using dictionary learning. In a previous work we have developed a method which uses a set of pre-specified Legendre basis functions to perform region based segmentation of an object in presence of heterogeneous illumination.
Rituparna Sarkar   +2 more
openaire   +1 more source

Membership modification and level sets

Soft Computing, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Motion segmentation with level sets

Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 1999
Motion segmentation is an important problem in video processing and compression, and in computer vision. It is usually performed by either first estimating a field of motion parameters and then segmenting it, or by applying joint motion estimation and segmentation.
Abdol-Reza Mansouri, Janusz Konrad
openaire   +1 more source

Home - About - Disclaimer - Privacy