Image-based 3D capture of cultural heritage artifacts an experimental study about 3D data quality

Abstract

-The paper presents an analysis of the 3D data quality generated from small-medium objects by well-known automatic photogrammetry packages based on Structure from Motion (SfM) and Image Matching (IM). The work aims at comparing different shooting configurations and image redundancy, using as high-quality reference the 3D data acquired by triangulation-based laser scanners characterized by a low measurement uncertainty. Two set of tests are presented: i) a laboratory 3D measurement made with the two active and passive approaches, where the image-based 3D acquisition makes use of different camera orientations leading to different image redundancy; ii) a 3D digitization in the field with an industrial laser scanner and two sets of images taken with different overlap levels. The results in the field confirm the relationship between measurement uncertainty and image overlap that emerged in the Lab tests.

3d Low-Cost Acquisition for the Knowledge of Cultural Heritage: The Case Study of the Bust of San Nicola Da Tolentino

“…The image-based 3D reconstruction technique, born from the combination of computer research in the field of computer vision and traditional photogrammetry, has allowed extracting metric information from the photographic images automatically, i.e. without the need for the operator to collimate the points (Guidi et al, 2015). The automatic photogrammetry processing (simplified term to indicate the process, sometimes improperly called photomodeling) takes place through four successive phases:…”

A Critical Comparison of 3D Digitization Techniques for Heritage Objects

“…Accurate and high-resolution heritage 3D modeling has been investigated with various passive and active sensors aiming to reconstruct surface characteristics accurately. Triangulation-based laser scanning [7], structured light scanning [8], modeling with range imaging (RGB-D) cameras [9], and image-based photogrammetric modeling [10][11][12] constitute some of the techniques explored for the 3D digitization of heritage objects. Although triangulation scanning, structured light scanning, and image-based modeling systems implementing structure-from-motion (SfM) and multi-view stereo (MVS) algorithms [13] have prevailed for large-scale heritage applications, mainly due to the combined: lower costs, faster data acquisition and processing, high precision, and ability to capture high-resolution texture [8,[14][15][16].…”

Structured-Light Based 3D Reconstruction System for Cultural Relic Packaging

“…Most of the domestic applications were focused on the archaeological surveys of cultural relics. However, the work in the field heavily relies on a series of precautions, safeguards and redundancy strategies [ 19 , 20 , 21 , 22 ].…”