Shroud of Turin Blog

The Definitive Word on 3D from OK?

In essence, Jackson & Jumper took the crude photo of the Shroud, determined location of 13 characteristic points on the face, determined their vertical coordinates on the model, determined the relative intensity of those points with VP-8 (much more primitive than ImageJ we use today), plotted linear regression, obtaining as a parameter max range of 3.7 cm, calculated correlation coefficient, determining that almost certainly there is at least some correlation, and then compared it with the profile for the whole front image of the Shroud. Simple technique, but remarkable achievement.

That paragraph above is from the 29th slide in a self-paced, fully explained, fully comprehendible four-part presentation, 3D properties of the Shroud revised by regular participant O.K.

All right, I cheated. Here is the same image, but this time using ‘Thermal LUT’ instead of ‘Original colors’

[See  Part 1, slides 19 & 20 ]

As you can see, the image is blurred too much -too high smoothing applied, and a lot information is gone. We have a handy image in original colors, but actually disastrous 2D resolution.