| Title |
Progresinis iteracinis mažiausių kvadratų aproksimavimas kreivių ir paviršių (re)konstravimui, naudojant adaptyvų patikslinimą |
| Translation of Title |
Least squares progressive iterative approximation for spline curve and surface (re-)construction using adaptive refinement. |
| Authors |
Palianskas, Šarūnas |
| Full Text |
|
| Pages |
35 |
| Keywords [eng] |
geometric iterative approximation ; least squares progressive iterative approximation ; thb-splines ; curve fitting ; surface fitting |
| Abstract [eng] |
Least squares progressive iterative approximation (LSPIA) method allows to approximate data points with curves and surfaces by employing splines that are fitted to the data. The accuracy of approximations is determined by the amount of control points used in the splines, thus an appropriate selection of control points is needed to acquire the best approximation. The use of THB-splines as the underlying spline type inside the LSPIA method allows the resulting splines to better approximate data points with highly irregular sections by employing local resolution improvements. This decreases the total amount of control points used globally, removes visual artefacts resulting from excessive control points and reduces the amount of resources sed during calculations. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Master thesis |
| Language |
Lithuanian |
| Publication date |
2025 |
