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Wednesday, July 29, 2020 | History

1 edition of Ship outline feature selection using B-spline function found in the catalog.

Ship outline feature selection using B-spline function

Werawong Thavamongkon

# Ship outline feature selection using B-spline function

## by Werawong Thavamongkon

Published .
Written in English

Subjects:
• Electrical engineering

• ID Numbers
Open LibraryOL25599235M

GitHub is where people build software. More than 40 million people use GitHub to discover, fork, and contribute to over million projects. Features → Code review B-Spliner is a tool that can be used to calculate and display spline curves using an implementation of the B . T'\ NUT") T") 0 - LJ-l L\.,Il u: Dynamic Non-Uniform Rational B-Splines Ph.D. Hong Qin Graduate Department of Computer Science University of Toronto Abstract Non-uniform rational B-splines (NURBS) have become a de facto standard in commer- cial modeling systems because of their power to represent both free-form shapes and someAuthor: Hong Qin.

This classic work continues to offer a comprehensive treatment of the theory of univariate and tensor-product splines. It will be of interest to researchers and students working in applied analysis, numerical analysis, computer science, and engineering. The material covered provides the reader with the necessary tools for understanding the many applications of splines in such diverse areas as. practice on graphics structures. B-spline functions are deﬁned recursive, so direct computation is very diﬃcult. In this article is shown the proof of formula for simpler direct computation of derivatives and its application for derivatives of NURBS curves. Keywords derivative, B-spline, NURBS 1 Deﬁnition of B-spline curve Deﬁnition File Size: 97KB.

This book explores and elucidates the new weighted approximation techniques that result from combining the computational advantages of B-splines with standard finite elements. The text is self-contained - including a discussion of basic finite element theory - and easily accessible to graduate students in mathematics and by: I am using the bs function of the splines package to create a b-spline smoothing curve for graphical purposes. (There is at least one report that Excel uses a third order b-spline for its smooth line graphs, and I would like to be able to duplicate those curves.) I am having trouble understanding the arguments required by the bs function.

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### Ship outline feature selection using B-spline function by Werawong Thavamongkon Download PDF EPUB FB2

Ship outline feature selection using B-spline function. Ship outline feature selection using B-spline function.

by Thavamongkon, Werawong. Publication date TZ Topics Electrical engineering National Security Internet Archive (NSIA) Additional Collections. Ship outline feature selection using B-spline function. By Werawong Thavamongkon Download PDF (8 MB)Author: Werawong Thavamongkon. 1 Adaptive B-spline Knots Selection Using Multi-Resolution Basis Set Yuan Yuana, Nan Chenb, Shiyu Zhouac a Department of Industrial and Systems Engineering, the University of Wisconsin – Madison b Department of Industrial & Systems Engineering, National University of Singapore c Corresponding author.

Email: [email protected] ABSTRACT B-splines are commonly used in the Computer Cited by: the purpose of this paper to present the designed algorithms for B-spline curve and surface smoothing, together with the results obtained to smooth real ship B-spline surface patches.

The paper is structured as follows: Section presents a brief description of the ship hull surface modeling process using B-spline curves and Size: 1MB.

MEx NURBS Curve and Surface Modeling Page Important Properties of B-spline Basis Functions P Ni,p(u) = 0 if u is outside the interval [ui, ui+p+1) (local support property).

For example, note that N1,3 is a combination of N1,0, N2,0, N3,0, and N4,0 Thus, N1,3 is non. B-spline—Definition • Spline – A piecewise polynomial function f(x). Let be a strictly increasing sequence of points, and let k be a positive integer.

If P 1,P l is any sequence of l polynomials, each of order k (that is, of degree File Size: 1MB. B-spline basis functions Defined by the nodal sequence and by the polynomials degree of the curve (d) There are n+1 such functions, indexed from 0 to n.

Nodal sequence: It is a series of values u i (knots) of the parameter u of the curve, not strictly increasing – there can be equal values. There are m+1 such knots, indexed from 0 to mFile Size: 2MB. • Parameter Selection and Knot Vector Generation • Global Curve Interpolation • B-spline interpolation Input a set of data points D 0, • The maximum of a B-spline basis function does not have to be computed preciselyFile Size: 1MB.

Outline • Types of Curves – Splines – B-splines • Let denote the i-th blending function for a B-spline of degree d, then: 18 Creating a Non-Uniform B-spline: Knot Selection • Given curve of degree d=3, with m+1 control points – first, create m+d knot values – use knot values (0,0 File Size: 2MB.

Unit 6: B-spline Curves Motivation B-spline Basis Functions Definition Important Properties Computation Examples B-spline Curves Definition Open Curves Closed Curves Important Properties Computing the Coefficients A Special Case Moving Control Points Modifying Knots Derivatives of a B-spline Curve Important Algorithms for B-spline Curves.

The second method is a B-spline Coefficient method which uses the uneven spaced spline coefficients to find the beginning, the peak, and the area of the lumps of a ship for classification. B-spline Basis Functions: Important Properties.

Let us recall the definition of the B-spline basis functions as follows: This set of basis functions has the following properties, many of which resemble those of Bézier basis functions.

N i,p (u) is a degree p polynomial in u. a high degree is required in order to satisfy a large number of constraints; e.g., (n − 1)-degree is needed to pass a polynomial Bézier curve through n data r, high degree curves are inefficient to process and are numerically unstable;Cited by: basis) have compact support which, except for the boundary functions, is of length mb.

Thus, by decreasing the distance b between knots, the support of the functions is reduced. With the exception of the boundary functions [5,6] a B-spline basis for the subspace arises by successive translations of a prototype function.

The i^th B-spline basis function of degree p (or order p+1), denoted by N_i,p(u), is defined as N_i,0(u) Contributed by: Shutao Tang Audio created with WolframTones.

Bo or 1. In tro duction This essa y reviews those basic facts ab out (univ ariate) B-splines whic function, and use r collection of all p olynomials of degree r. The notation. B-spline functions are defined recursively, so the direct computation is very difficult.

In this article new direct proof of the formula used for simpler direct computation is shown. An Interactive Introduction to Splines. 2D Spline Curves (HTML5 based) Bezier spline curves DeCasteljau algorithm.

Linear, quadratic and cubic Bezier splines. Bezier spline subdivision. Bernstein polynomials. Recurrence relations. How to plot Bezier spline and basis functions.

Proof of the deCasteljau algorithm. More Bezier splines Math Affine. 10/2/ Graphics I 2 Review • Cubic polynomial form for curve • Each c k is a column vector [c kx cky ckz]T • Solve for c k given control points • Interpolation: 4 File Size: KB. In the mathematical subfield of numerical analysis, a B-spline or basis spline is a spline function that has minimal support with respect to a given degree, smoothness, and domain partition.

Any spline function of given degree can be expressed as a linear combination of B-splines of that degree. Cardinal B-splines have knots that are equidistant from each other.

The proposed algorithm considers recursive B-spline basis function to be a pile of linear functions and collects all the necessary linear functions in each knot span. Then, algorithm computes the power form representation of B-spline basis functions and the required transformation of B-spline curve is obtained through the linear combination of Author: Joonghyun Ryu, Youngsong Cho, Deok-Soo Kim.Evaluation of B-splines int gsl_bspline_eval (const double x, gsl_vector * B, gsl_bspline_workspace * w).

This function evaluates all B-spline basis functions at the position x and stores them in the vector B, so that the -th element vector B must be of value may also be obtained by calling gsl_bspline_ncoeffs().Computing all the basis functions at once is more.intended use and its capabilities.

New Features in Version (p. ) Introduces features that are new in Version Using this Guide (p. ) Outlines the organization of this user’s guide. Splines in MATLAB (p. ) Compares spline approximation using the MATLAB® spline command with the capabilities of the Spline Size: 6MB.