Analyzing the evolution of deterioration patterns: A first step of an image-based approach for comparing multitemporal data sets

Abstract

When documenting and analyzing cultural heritage, the monument states can be described by multitemporal data sets, which however present a complication for the elaboration and examination process. This difficulty leads to the necessity to improve the analyze process in order to expand the documentation process and help experts to enrich and share information about the historical buildings. Therefore an approach of change measurement, which supports the chronical comprehension of a building by visualizing and quantifying the dimensional temporal effects was elaborated, where the analyze process of a multitemporal data set was based on the interpretation of depth map images. These maps were obtained by generating ortho images of an object that was created on purpose by setting up an experimentation to acquire a multitemporal data set. This approach is the first step of a wider ongoing research about change detection processes on multitemporal data sets.

A Shape-Adjusted Tridimensional Reconstruction of Cultural Heritage Artifacts Using a Miniature Quadrotor

“…Secondly, as the system provides direct ground truth measurement in an automated process, it could be used for the follow-up of an artifact by giving the opportunity to reproduce a data acquisition to get a comparable dataset at different temporal states. Thus, one step forward could be to focus the development of this prototype to be dedicated to the monitoring issue of CH artifacts by linking this smart and innovative data acquisition device with data processing solutions to assess and quantify the degradation phenomena [22].…”

An ontological model for the reality-based 3D annotation of heritage building conservation state

“…This method allows particularly to add some other data set showing building at diverse temporal states, adjusted in the same spatial reference. So the performed annotation can be re-projected on other temporal image sets and then monitor, compare, analyze the evolution of deterioration patterns [21]. As explained in the section 3.3, the 2D/3D regions are also a relevant support for carrying out spatial and morphological analysis of the collected annotations.…”

Towards a SLAM-based augmented reality application for the 3D annotation of rock art

“…Indeed, if the sparse cloud provided by SLAM does not seem sufficient to support relevant exploitation, the video stream frames associated with their positioning data could easily be subjected to the spatialization and indexation process at the end of each AR visit. In this way, users could access to data for comparing differ-ent time states as proposed by (Peteler et al 2015) and thus ensure the morphological monitoring of wall degradations.…”