A procedure for point clouds matching from range data and image-based systems
Most of the survey techniques used in archaeology and architecture are focused on range-data (laser scanning) and image-based systems (digital photogrammetry). The paper aims to highlight a different methodological approach in the acquisition and processing procedures of the numerical data. The proposed methodology suggests an alternative way to match point clouds from laser scanner and image-based systems, exploiting the properties of the ICP algorithms. Some tests were performed at different scale in order to achieve the suitable procedure, evidencing the differences with the classic employed methods. The figures show this comparison and the making of the new procedure. The results are very interesting and concerned the merging of the numerical models from different sources. The correct position of the points in space aids the next step of the surface reconstruction (meshing process) and the final 2D representation.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).