Results 131 to 140 of about 1,311,142 (167)
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Mutual Segmentation with Level Sets
2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06), 2006We 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
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Membership modification and level sets
Soft Computing, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On the Integration of Fuzzy Level Sets
2015We 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
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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
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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
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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
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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
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On Polynomials with Related Level Sets
Canadian Mathematical Bulletin, 1970If 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.
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Motion segmentation with level sets
Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 1999Motion 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
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Segmentation by Level Sets and Symmetry
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06), 2006Shape symmetry is an important cue for image understanding. In the absence of more detailed prior shape information, segmentation can be significantly facilitated by symmetry. However, when symmetry is distorted by perspectivity, the detection of symmetry becomes non-trivial, thus complicating symmetry-aided segmentation.
Tammy Riklin-Raviv +2 more
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Level Sets and Distance Functions
2000This 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
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Levels Sets Infimal Convolution and Level Addition
Journal of Optimization Theory and Applications, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Luc, D. T., Volle, M.
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