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4D reconstruction and visualization of cultural heritage: analyzing our legacy through time

Lookup NU author(s): Professor Jon MillsORCiD, Dr Karolina Fieber, Professor Ian Haynes



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Temporal analyses and multi-temporal 3D reconstruction are fundamental for the preservation and maintenance of all forms of Cultural Heritage (CH) and are the basis for decisions related to interventions and promotion. Introducing the fourth dimension of time into three-dimensional geometric modelling of real data allows the creation of a multi-temporal representation of a site. In this way, scholars from various disciplines (surveyors, geologists, archaeologists, architects, philologists, etc.) are provided with a new set of tools and working methods to support the study of the evolution of heritage sites, both to develop hypotheses about the past and to model likely future developments. The capacity to “see” the dynamic evolution of CH assets across different spatial scales (e.g. building, site, city or territory) compressed in diachronic model, affords the possibility to better understand the present status of CH according to its history. However, there are numerous challenges in order to carry out 4D modelling and the requisite multi-data source integration. It is necessary to identify the specifications, needs and requirements of the CH community to understand the required levels of 4D model information. In this way, it is possible to determine the optimum material and technologies to be utilisedat different CH scales, as well as the data management and visualization requirements. This manuscript aims to provide a comprehensive approach for CH time-varying representations, analysis and visualization across different working scales and environments: rural landscape, urban landscape and architectural scales. Within this aim, the different available metric data sources are systemized and evaluated in terms of their suitability.

Publication metadata

Author(s): Rodríguez-Gonzálvez P, Muñoz-Nieto AL, delPozo S, Sanchez-Aparicio LJ, Gonzalez-Aguilera D, Micoli L, Gonizzi-Barsanti S, Guidi G, Mills J, Fieber K, Haynes I, Hejmanowska B

Editor(s): D. Aguilera, A. Georgopoulos, T. Kersten, F. Remondino, and E. Stathopoulou

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences

Year of Conference: 2017

Pages: 609-616

Online publication date: 23/02/2017

Acceptance date: 02/04/2016

Date deposited: 19/12/2017

Publisher: ISPRS


DOI: 10.5194/isprs-archives-XLII-2-W3-609-2017