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https://github.com/wassname/scikit-image.git
synced 2026-07-03 11:45:29 +08:00
Making matching graphics more clear
This commit is contained in:
committed by
Johannes Schönberger
parent
a93fe9dbb9
commit
11403f9ce3
@@ -9,7 +9,7 @@ import matplotlib.pyplot as plt
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rotate = 0.5
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translate = (-100, -200)
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scaling = (1.5, 1.5)
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match_threshold = 0.40
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match_threshold = 0.25
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match_cross_check = True
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img_color = data.lena()
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@@ -18,13 +18,13 @@ transformed_img_color = tf.warp(img_color, tform)
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img = rgb2gray(img_color)
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transformed_img = rgb2gray(transformed_img_color)
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keypoints1, orientations1, scales1 = keypoints_orb(img, n_keypoints=250)
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keypoints1, orientations1, scales1 = keypoints_orb(img, n_keypoints=500)
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keypoints1.shape
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descriptors1, keypoints1 = descriptor_orb(img, keypoints1, orientations1, scales1)
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keypoints1.shape
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descriptors1.shape
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keypoints2, orientations2, scales2 = keypoints_orb(transformed_img, n_keypoints=250)
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keypoints2, orientations2, scales2 = keypoints_orb(transformed_img, n_keypoints=500)
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keypoints2.shape
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descriptors2, keypoints2 = descriptor_orb(transformed_img, keypoints2, orientations2, scales2)
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keypoints2.shape
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@@ -38,8 +38,8 @@ matched_keypoints.shape
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# Plotting the matched correspondences in both the images using matplotlib
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src = matched_keypoints[:, 0, :]
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dst = matched_keypoints[:, 1, :]
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src_scale = 10 * (scales1[mask1] + 1) ** 2
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dst_scale = 10 * (scales2[mask2] + 1) ** 2
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src_scale = 10 * (scales1[mask1] + 1) ** 1.5
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dst_scale = 10 * (scales2[mask2] + 1) ** 1.5
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img_combined = np.concatenate((img_as_float(img_color), img_as_float(transformed_img_color)), axis=1)
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offset = img.shape
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@@ -53,8 +53,10 @@ ax.axis((0, 2 * offset[1], offset[0], 0))
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ax.set_title('Matched correspondences : Rotation = %f; Scale = %s; Translation = %s; threshold = %f; cross_check = %r' % (rotate, scaling, translate, match_threshold, match_cross_check))
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for m in range(len(src)):
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ax.plot((src[m, 1], dst[m, 1] + offset[1]), (src[m, 0], dst[m, 0]), '-', color='g')
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ax.scatter(src[m, 1], src[m, 0], src_scale[m], facecolors='none', edgecolors='b')
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ax.scatter(dst[m, 1] + offset[1], dst[m, 0], dst_scale[m], facecolors='none', edgecolors='b')
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c = np.random.rand(3,1)
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ax.plot((src[m, 1], dst[m, 1] + offset[1]), (src[m, 0], dst[m, 0]), '-', color=c)
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ax.scatter(src[m, 1], src[m, 0], src_scale[m], facecolors='none', edgecolors=c)
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ax.scatter(dst[m, 1] + offset[1], dst[m, 0], dst_scale[m], facecolors='none', edgecolors=c)
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plt.show()
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