Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Spline


Comparison Between T-Spline Surface and NURBS Surface

Laith Abdullah Mohammed; Mohanad Musadaq Jaafar

Engineering and Technology Journal, 2015, Volume 33, Issue 4, Pages 802-814

This research uses T-spline for surface modeling and compares it with NURBS modeling to get the best modeling points between the two methods. The comparison will be through surface analysis and manufacturing process.T-Splines surfaces typically have 50-70% less geometric data structure than the equivalent NURBS surface, allowing for faster and more controlled direct editing and shape optimization. In Environment Map analysis, the image of T-Spline surface for the models is reflected more clearly than a NURBS surface, in measurement runtime for machining (roughing and finishing), the T-spline surface for the bicycle seat model is machined in (16 minutes) less than machining the NURBS surface, and the T-Spline surface of the longitudinal section of the bottle model is machined in (10 minutes) less than machining the NURBS surface. In measurement of roughness, the T-Spline surface for the bicycle seat model has (2.4861 µm) average (Ra) for patches measured roughness average (Ra), and the NURBS surface has (4.9216 µm) average (Ra) for patches measured roughness average (Ra).

A Proposed Method for Detecting Fake Art by Using B-Spline Curves

Abdul Monem S. Rahma; Luma Faik Jalil Khalil

Engineering and Technology Journal, 2012, Volume 30, Issue 2, Pages 203-221

This paper presents proposed method for detecting fake art by using B-Spline
curves. In this paper B-Spline curve is used with special technique helps to determine
the difference between the excellent copy and the real McCoy image. In the proposed
method B-Spline curves are created for the McCoy and the image in question as
digital print for these images. The number of defined control points, generated curves,
and the order of the polynomial segments of the generated B-spline curvesare an
important factors which determine the accuracy of detecting fake art.In order to
determine if the image in question is McCoy or not the detection process is executed
by comparing the function values of generated B-Spline curves of the excellent copy
(its digital print) with the function values of generated B-Spline curves of the McCoy
(its digital print).