From a6df67e8bcd5159cde27556f4f6a315f8dc2215f Mon Sep 17 00:00:00 2001
From: shamikam
Date: Mon, 16 Jan 2017 02:56:17 +0530
Subject: First Commit

---
 macros/undistortPoints.sci | 37 +++++++++++++++++++++++++++++++++++++
 1 file changed, 37 insertions(+)
 create mode 100644 macros/undistortPoints.sci

(limited to 'macros/undistortPoints.sci')

diff --git a/macros/undistortPoints.sci b/macros/undistortPoints.sci
new file mode 100644
index 0000000..39b13d5
--- /dev/null
+++ b/macros/undistortPoints.sci
@@ -0,0 +1,37 @@
+function [idealPoints] = undistortPoints(observedPoints, camMat, disCoefMat, rectMat, newCamMat)
+// Returns the ideal point coordinates from the observed point coordinates
+//
+// Calling Sequence
+//   [idealPoints] = undistortPoints(observedPoints, camMat, disCoefMat, rectMat, newCamMat)
+//
+// Parameters
+// observedPoints: 1xN or Nx1 2-channel (CV_32FC2 or CV_64FC2).
+// camMat: \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}
+// disCoefMat: Input vector of distortion coefficients  (k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6]]) of 4, 5, or 8 elements. If the vector is NULL/empty, the zero  distortion coefficients are assumed.
+// rectMat: Rectification transformation in the object space (3x3 matrix). If the matrix is empty, the identity transformation is used.
+//newCamMat: New camera matrix (3x3) or new projection matrix (3x4. If the matrix is empty, the identity new camera matrix is used.
+// idealPoints: ideal point coordinates matrix. If matrix newCamMat is identity or omitted, idealPoints will contain normalized point coordinates.
+//
+// Description
+// Returns the ideal points coordinates from the observed point coordinates after undistortion and reverse perpective transformation. 
+//
+// Examples
+// [observedPoints] = [1 2 3 4; 4 3 2 1]
+// [camMat] = [450 0 231; 0 876.3 87.1; 0 0 1]
+// [disCoefMat] = [3 2 0 9]
+// [rectMat] = [1 0 0; 0 1 0; 0 0 1]
+// [newCamMat] = []
+// [idealPoints] = undistortPoints(observedPoints, camMat, disCoefMat, rectMat, newCamMat)
+//
+// Authors
+// Deepshikha
+
+	output = opencv_undistortPoints(srcMat, camMat, disCoefMat, rectMat, newCamMat)
+    
+    channels = size(output)
+	
+	for i = 1:channels 		// for i channel image
+		idealPoints(:,:,i) = output(i)
+	end	
+    
+endfunction
-- 
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