diff --git a/README.md b/README.md
index fc10ac73f3ba92c04d1554fe2275ec9d22c9cfb2..8fece39a669be0fb0b1ad9b5c735e9d8358a3a07 100644
--- a/README.md
+++ b/README.md
@@ -50,6 +50,8 @@ The small frame is designed to be printable on an A4 page (or letter), and the m
 
 ## Results
 
+### Grid scan
+
 To quantify the accuracy of the scanning, a 25mm calibration grid was built:
 
 <img src="img/grid.jpg" width=70%></img>
@@ -60,12 +62,29 @@ Here is the image used for analysis, showing the detected features (aruco marker
 
 Here is the extracted image:
 
-<img src="img/result.jpg" width=70%></img>
+<img src="img/result.jpg" width=60%></img>
 
 The grid feature points are automatically extracted:
 
-<img src="img/grid_features.jpg" width=70%></img>
+<img src="img/grid_features.jpg" width=60%></img>
 
 Finally, the distance between neighboring grid points is measured, revealing the accuracy of the scanning process. Here is a comparison of all frames, including the Shaper Trace, showing improved accuracy and less variance:
 
 <img src="img/plot.png" width=70%></img>
+
+|                  | mean [mm] | stdev [mm] |
+|------------------|-----------|------------|
+| **small1**       | 25.098    | 0.126      |
+| **small2**       | 25.017    | 0.102      |
+| **medium1**      | 25.048    | 0.123      |
+| **medium2**      | 25.056    | 0.123      |
+| **large**        | 25.086    | 0.112      |
+| **Shaper Trace** | 24.888    | 0.201      |
+
+### Resilience to fabrication error
+
+To test the resilience of the scanning to process to fabrication errors, a distorted frame was designed and built. Its feature points are deviated horizontally and vertically with a standard deviation of 1mm.
+
+<img src="img/distorted_zoom.jpg" width=70%></img>
+
+Thanks to the least squares optimization when retrieving the perspective transform, this error is successfully dampened. The results are shown in the table above, under the name **medium2**; as seen, the precision is the same as **medium1**, which was built with a tolerance of <0.4mm .
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