The only things to change are Target and Sample Mesh. In the Hausdorff distance, it is necessary to leave the parameters of defalut. It should run on both models. Once you have completed these two steps you can use the tool that calculates the Hausdorff distance. If you do not fix the initial position, you are likely to perform calculations of distances to various rotations, heavily distorting the result. The command “Freeze current matrix” allows us to define the position of the matrix. Block matrices is necessary, since the instrument performs the algorithm starting from the starting position of the objects. To obtain an exact result is, however, necessary to perform the first two operations: the first is the alignment of which we have already seen, while the second is to “lock” the matrix of rotational translation for both objects. This tool compute the Hausdoff distance between two meshes, sampling one of the two and finding foreach sample the closest point over the other mesh. In other words, it is the greatest of all the distances from a point in one set to the closest point in the other set. MeshLab provides, among Filters “Sampling”, the Hausdoff distance. It will be observed as the geometry obtained by David Scan model differs from zero. As a result: from now on will be taken as the main reference, such as “zero model” that obtained with NextEngine for comparison. There is an important clarification for the purposes of comparison, the model NextEngine, has an accuracy far greater than David Scan. We then have the two objects perfectly stacked and ready to be compared. In this case, however, a need to improve the step of processing by increasing the parameters of “Sample Number” and “Target Distance” algorithm of alignment. We import the two project in MeshLab and align themselves through “Point Based Glueling” into the tool “Align”. ![]() To align the two 3D models, the process is the same used to align each mesh of the project. The first step to be taken is groped to better align the two objects. Essentially: the smaller the distance between two points, the greater the similarity between the two models at that point. The process is quite simple, and will be analyzed in a series of steps. To make this comparison, and provide visual feedback, a good approach is to compare the two geometries obtained can be calculated point by point the distance between the two objects and obtain the actual measurement in millimeters on which it is possible to carry out observations of various kind. After scoring two 3D models, respectively: David Scan (very economical solution) and NextEngine (more professional, but not too expensive) it is possible to analyze the differences and similarities of the results obtained.
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