Sökning: "minimal"
Visar resultat 1 - 5 av 1092 avhandlingar innehållade ordet minimal.
1. Gröbner Basis Methods for Minimal Problems in Computer Vision
Sammanfattning : A method is presented for building solvers for classes of multivariate polynomial equations. The method is based on solving an analogous template problem over a finite field, and then using the elimination order established for this problem for the original class of problems. LÄS MER
2. Computational Methods for Computer Vision : Minimal Solvers and Convex Relaxations
Sammanfattning : Robust fitting of geometric models is a core problem in computer vision. The most common approach is to use a hypothesize-and-test framework, such as RANSAC. In these frameworks the model is estimated from as few measurements as possible, which minimizes the risk of selecting corrupted measurements. LÄS MER
3. Bridge Overhang Slabs with Edge Beams : LCCA and Structural Analysis for the Development of New Concepts
Sammanfattning : Bridge edge beams are associated with high life-cycle costs because of the need of maintenance, which also causes traffic disturbances. For this reason, the Swedish Transport Administration started a project to find better solutions. One of the proposals was a design without edge beam. LÄS MER
4. Numerical Methods for Geometric Vision: From Minimal to Large Scale Problems
Sammanfattning : This thesis presents a number of results and algorithms for the numerical solution of problems in geometric computer vision. In geometric computer vision one tries to extract geometric information about the world and the observer from a sequence of images. LÄS MER
5. Minimal Residual Disease Assessment in Childhood Acute Lymphoblastic Leukemia
Sammanfattning : Traditionally, response to treatment in hematological malignancies is evaluated by light microscopy of bone marrow (BM) smears, but due to more effective therapies more sensitive methods are needed. Today, detection of minimal residual disease (MRD) using immunological and molecular techniques can be 100 times more sensitive than morphology. LÄS MER