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今天就跟大家聊聊有關(guān)怎么在android中實(shí)現(xiàn)一個廣角相機(jī)畸變校正算法,可能很多人都不太了解,為了讓大家更加了解,小編給大家總結(jié)了以下內(nèi)容,希望大家根據(jù)這篇文章可以有所收獲。
徑向畸變:
切向畸變:
以及在OpenCV中的畸變系數(shù)的排列(這點(diǎn)一定要注意k1,k2,p1,p2,k3),千萬不要以為k是連著的。
其公式由好像是泰勒公式,K和P應(yīng)該可以無限精確,也可以橫豎使用不同參數(shù),r=x*X+y*y;
5.這里不對標(biāo)定過程和opencv校正過程詳細(xì)推理。這里使用代碼實(shí)現(xiàn)簡單的畸變算法,考慮到效率和實(shí)時性,略去切向畸變,徑向畸變假設(shè)x,y相等且只取一階K值,其實(shí)一階K值大約已經(jīng)可以把畸變控制人眼接受的范圍內(nèi)了。
6.代碼
public class LensCorrect2 { // 鏡頭校正查找表 private Point[][] CorrInd = null;// new Point[480][640]; private double k1 = 0f; private double k2 = 0f; private Bitmap mBm = null; private int mW = 0; private int mH = 0; private int max_x = 0, max_y = 0; private int min_x = 0, min_y = 0; // 鏡頭徑向畸變校正初始化 public LensCorrect2(double k1, double k2, Bitmap mBm) { super(); this.k1 = k1; this.k2 = k2; this.mBm = mBm; this.mW = mBm.getWidth(); this.mH = mBm.getHeight(); int cw = mW >> 1; int ch = mH >> 1; CorrInd = new Point[mH][mW]; Log.i("XXXXX", "imgHeight=" + mH); Log.i("XXXXX", "imgWidth=" + mW); int it; int jt; int it2; int jt2; for (int i = 0; i < mH; i++) { it = (i + 1) - ch; // (i+1) 是其真正的圖像坐標(biāo) for (int j = 0; j < mW; j++) { double temp; jt = (j + 1) - cw; // (j+1) 是其真正的圖像坐標(biāo) temp = 1 + k1 * it * it + k2 * jt * jt; it2 = (int) (temp * it); jt2 = (int) (temp * jt); it2 = it2 + ch + 1; jt2 = jt2 + cw + 1; // Log.i("AAAAA", "imgHeight="+imgHeight); // Log.i("AAAAA", "imgWidth="+imgWidth); // Log.i("AAAAA", "i="+i); // Log.i("AAAAA", "j="+j); // Log.i("XXXXX", "jt2="+jt2); // Log.i("XXXXX", "it2="+it2); if (max_x < jt2) { max_x = jt2; } if (min_x > jt2) { min_x = jt2; } if (max_y < it2) { max_y = it2; } if (min_y > it2) { min_y = it2; } Point p = new Point(jt2, it2); CorrInd[i][j] = p; } } Log.i("XXXXX", "max_x=" + max_x); Log.i("XXXXX", "min_x=" + min_x); Log.i("XXXXX", "max_y=" + max_y); Log.i("XXXXX", "min_y=" + min_y); } public Bitmap getLensCorrect() { Bitmap bm = Bitmap.createBitmap((max_x - min_x) + 1, (max_y - min_y) + 1, Bitmap.Config.ARGB_8888); int it2; int jt2; for (int i = 0; i < mH; i++) { for (int j = 0; j < mW; j++) { it2 = CorrInd[i][j].y; jt2 = CorrInd[i][j].x; bm.setPixel(jt2 - min_x, it2 - min_y, mBm.getPixel(j, i)); } } return bm; } public Bitmap getLensCorrect0() { Bitmap bm = Bitmap.createBitmap(mW, mH, Bitmap.Config.ARGB_8888); int it2; int jt2; for (int i = 0; i < mH; i++) { for (int j = 0; j < mW; j++) { it2 = CorrInd[i][j].y; jt2 = CorrInd[i][j].x; if ((it2 >= 0) && (jt2 >= 0) && (it2 < mH) && (jt2 < mW)) { // bm.setPixel(j, i, mBm.getPixel(jt2, it2)); bm.setPixel(jt2, it2, mBm.getPixel(j, i)); } } } return bm; } }
看完上述內(nèi)容,你們對怎么在android中實(shí)現(xiàn)一個廣角相機(jī)畸變校正算法有進(jìn)一步的了解嗎?如果還想了解更多知識或者相關(guān)內(nèi)容,請關(guān)注億速云行業(yè)資訊頻道,感謝大家的支持。
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