'Spline function' presentation slideshows

Lecture 9: Multiscale Bio-Modeling and Visualization Tissue Models II: Contouring 3D Images

Lecture 9: Multiscale Bio-Modeling and Visualization Tissue Models II: Contouring 3D Images. Chandrajit Bajaj http://www.cs.utexas.edu/~bajaj. Imaging Modalities. Contouring for Models and Visualization. The Isocontour Computation Problem. Input: Scalar Field F defined on a mesh

814 views • 67 slides

Orientation and Animation

Orientation and Animation. Jim Van Verth (jim@essentialmath.com). Interpolating Rotation. Not as simple, but more important E.g. camera control Store orientations for camera, interpolate E.g. character animation Body location stored as point Joints stored as rotations.

707 views • 43 slides

Engineering Analysis ENG 3420 Fall 2009

Engineering Analysis ENG 3420 Fall 2009. Dan C. Marinescu Office: HEC 439 B Office hours: Tu-Th 11:00-12:00. Lecture 24. Attention: The last homework HW5 and the last project are due on Tuesday November 24!! Last time: Lagrange interpolating polynomials Splines Today Cubic splines

403 views • 31 slides

Mutual Information Based Registration of Medical Images

Mutual Information Based Registration of Medical Images. Pluim et al: Survey Mattes et al: CT/PET Registration. Background. Mutual information-based registration was proposed by Viola and Wells (MIT) in 1994-5. It has become commonplace in many clinical applications.

469 views • 28 slides

Continuous Representations of Time Gene Expression Data

Continuous Representations of Time Gene Expression Data. Ziv Bar-Joseph, Georg Gerber, David K. Gifford MIT Laboratory for Computer Science J. Comput . Biol .,10,341-356, 2003. Outline. Splines Estimating Unobserved Expression Values and Time Points

425 views • 27 slides

Engineering Analysis ENG 3420 Fall 2009

Engineering Analysis ENG 3420 Fall 2009. Dan C. Marinescu Office: HEC 439 B Office hours: Tu-Th 11:00-12:00. Lecture 23. Attention: The last homework HW5 and the last project are due on Tuesday November 24!! Last time: Linear regression versus sample mean. Coefficient of determination

272 views • 27 slides

328 views • 20 slides

Splines and Piecewise Interpolation

Splines and Piecewise Interpolation. Berlin Chen Department of Computer Science & Information Engineering National Taiwan Normal University. Reference: 1. Applied Numerical Methods with MATLAB for Engineers , Chapter 18 & Teaching material. Chapter Objectives (1/2).

311 views • 19 slides

From linearity to nonlinear additive spline modeling in Partial Least-Squares regression

307 views • 14 slides

INTERPOLATION

INTERPOLATION. For both irregulary spaced and evenly spaced data. Linear Interpolation. y. x = a. x. x = b. x. Linear Interpolation. Spline & Linear Interpolation.

133 views • 10 slides

Scattered data fitting using least squares with interpolation method

Scattered data fitting is a big issue in numerical analysis. In many applications, some of the data are contaminated by noise and some are not. It is not appropriate to interpolate the noisy data, and the traditional least squares method may lose accuracy at the points which are not contaminated. In this paper, we present least squares with interpolation method to solve this problem. The existence and uniqueness of its solution are proved and an error bound is derived. Some numerical examples are also presented to demonstrate the effectiveness of our method.

100 views • 8 slides