# A Methodical Approach to 3D Scanning of Heritage Objects Being under Continuous Display
## 4 Materials and Methods
### Description of the \"3 DScaMOTO\" Methodology
Selecting objects to scan & List of objects to be scanned divided into groups \\  & 1.1.3. Acquiring information about selected objects & (A, B, C) and a preliminary sequence of scanning \\  & 1.1.4. Dividing objects into groups A, B, C & \\  & 1.1.5. Determining the order of scanning & \\ \hline  & 1.2. Initial planning & 1.2.1. Selecting places for ad hoc studios & \\  & 1.2.2. Determining conditions of B and C type object sites & \\  & 1.2.3. Assessing feasibility of the scanning—rejection of the impossible & Final list of objects & Initial order of scanning \\  & 1.2.4. Redetermining and confirming the order of scanning & \\  & 1.2.5. Setting naming conventions & \\ \hline  & 1.3. On-site replanning & 1.3.1. Identifying expected problems & Redefined order of scanning adjusted to the current on-site conditions \\  & 1.3.2. Rearranging plan of the scanning & & \\  & 1.3.3. Marking problematic objects & & \\ \hline  & 2.1. Setting-up an ad hoc scanning studio at an exhibition site, if type A objects present & Scanning place for objects of type A \\ \hline  & 2.2. For each object of type A: & 2.2.1. Moving an object to an ad hoc studio & \\  & 2.2.2. Setting parameters of scanning & & \\  & 2.2.3. Performing a 3D scan & & \\  & 2.2.4. Checking the 3D scan quality & & Additional data (e.g., photographs, historical background, etc.) \\  & 2.2.5. Marking the 3D scan as problematic (if any, go to 2.2.2) & & \\  & 2.2.6. Acquiring additional data & & \\  & 2.2.7. Returning the object to its original place & & \\ \hline  & 2.3. For each object of type B: & 2.3.1. Preparing an exhibition place of an object for scanning & \\  & 2.3.2. Setting parameters of scanning & & \\  & 2.3.3. Performing a 3D scan & & \\  & 2.3.4. Checking the 3D scan quality & & \\  & 2.3.5. Marking the 3D scan as problematic (if any, go to 2.3.2) & & \\  & 2.3.6. Acquiring additional data & & \\  & 2.3.7. Restoring the object’s exhibition site to its normal condition & & \\ \hline  & 2.4. For each object of type C: & 2.4.1. Preparing an exhibition place of an object for scanning & \\  & 2.4.2. Setting parameters of scanning & & \\  & 2.4.3. Performing a 3D scan & & \\  & 2.4.4. Checking the 3D scan quality and inconsistencies & & \\  & 2.4.5. Developing an alternative way of problematic areas scanning if necessary (if any, go to 2.4.2) & & \\  & 2.4.6. Acquiring additional data & & \\  & 2.4.7. Restoring the object’s exhibition site to its normal condition & & \\ \hline  & & & \\  & & \\  & & \\  & & & \\  & & \\  & & \\  & & & \\  & & \\In the case of type C objects, the procedure is analogous to the case of type B objects. The difference is taking into account difficulties in accessing an object to be scanned. Only during the scan, it is possible to determine how much the existing limitations interfere with the proper scanning process. Some counteracting methods could be introduced depending on the situation, e.g., scanning from a different position, making multiple scans of difficult area fragments, using a different scanning device and/or additional handles. Stage 3 is about transforming gathered 3D scans into a high-resolution 3D mesh model of the scanned object (called 3D base model). During the scan preparation, the collected data for individual scanned objects are analyzed. Correctness of the object tagging (name and description) is confirmed, and potential errors in the description detected. 3D scans are analyzed in terms of their suitability for building a base 3D model. Rejecting inaccurate or low-quality scans saves time during actual processing. The result of this step are verified object scan data, ready for processing. Another step is actual processing of scan data (full processing). The data are first cleared of unnecessary elements, then partial scans are aligned to each other. After successful alignment, a global point cloud of the entire object is generated. During the final mesh processing, the point cloud is converted to a mesh of triangles.