Graph-based variational optimization and applications in computer vision
Texte intégral
Figure
Documents relatifs
The next multicolumns exhibit the results obtained on instances 1.8 and 3.5: “P rimal best ” presents the average value of the best integer solution found in the search tree; “Gap
A mesh evolution algorithm based on the level set method for geometry and topology optimization.. Grégoire Allaire, Charles Dapogny,
Finally, the last set of columns gives us information about the solution obtained with the BC code: the time (in seconds) spent to solve the instances to optimality (“ − ” means
We propose in this paper an interactive segmentation method based on watershed and graph cuts to extract liver tumors boundaries in 3D CT images.. 3 MICCAI 2008 is the
Intuitively, one can see that, if one starts from a minimum spanning forest (MSF) rooted in the minima of the image (or, equivalently, from a watershed cut [17]), then one builds
Results with partial occlusions on the PETS 2001 sequence for frames 2260, 2328, 2358 and 2398 (a) Result of background subtraction and extracted observations (bounding boxes) (b)
In this paper, we give a formal statement which expresses that a simple and local test performed on every node before its construction permits to avoid the construction of useless
We also propose another way for finding moving objects by using an a contrario detection of objects on the im- age obtained by solving the Rudin-Osher-Fatemi Total