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曲線擬合函數(shù) 三個函數(shù)，spline 調(diào)用另外兩個。用時候直接調(diào)用spline函數(shù)，入口pList是已知離散點鏈表，pDestList是生成的點的鏈表。SM是在兩個點中間插入點的數(shù)目，continue=0是采樣點無規(guī)律，要求生成閉合曲線。
上傳時間： 2014-01-16
上傳用戶：ryb
The problem of image registration subsumes a number of problems and techniques in multiframe image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature tracking. We present a new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the above mentioned problems. In particular, we show how to compute local flow, global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of the above problems. Using a spline-based description of the flow removes the need for overlapping correlation windows, and produces an explicit measure of the correlation between adjacent flow estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D projective scene geometry. We also provide results on a number of standard motion sequences.
標簽： image registration multiframe techniques
上傳時間： 2016-01-20
上傳用戶：520
實現(xiàn)三維空間點的樣條插值算法，point3D cubic spline
上傳時間： 2014-03-11
上傳用戶：1583060504
通過C++和GLUT，用OPENGL 實現(xiàn)的 二次 B spline 曲線渲染。 鼠標左鍵點擊，添加控制點，可以隨意移動控制點來改變曲線。 適合OPENGL初學者了解曲線生成過程。
標簽： GLUT
上傳時間： 2014-01-24
上傳用戶：ZJX5201314
The inverse of the gradient function. I ve provided versions that work on 1-d vectors, or 2-d or 3-d arrays. In the 1-d case I offer 5 different methods, from cumtrapz, and an integrated cubic spline, plus several finite difference methods. In higher dimensions, only a finite difference/linear algebra solution is provided, but it is fully vectorized and fully sparse in its approach. In 2-d and 3-d, if the gradients are inconsistent, then a least squares solution is generated
標簽： gradient function provided versions
上傳時間： 2016-11-07
上傳用戶：秦莞爾w
P3.20. Consider an analog signal xa (t) = sin (2πt), 0 ≤t≤ 1. It is sampled at Ts = 0.01, 0.05, and 0.1 sec intervals to obtain x(n). b) Reconstruct the analog signal ya (t) from the samples x(n) using the sinc interpolation (use ∆ t = 0.001) and determine the frequency in ya (t) from your plot. (Ignore the end effects.) C) Reconstruct the analog signal ya (t) from the samples x (n) using the cubic spline interpolation and determine the frequency in ya (t) from your plot. (Ignore the end effects.)
標簽： Consider sampled analog signal
上傳時間： 2017-07-12
上傳用戶：咔樂塢
digital image interpolation techniques including nearest neighbor, bilinear, bicubic and spline interpolation.
標簽： interpolation techniques including bilinear
上傳時間： 2014-01-06
上傳用戶：小儒尼尼奧
%this is an example demonstrating the Radial Basis Function %if you select a RBF that supports it (Gausian, or 1st or 3rd order %polyharmonic spline), this also calculates a line integral between two %points.
上傳時間： 2021-07-02
上傳用戶：19800358905
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