GCH 2019 - Eurographics Workshop on Graphics and Cultural Heritage

Permanent URI for this collection

https://diglib.eg.org/handle/10.2312/2632818

Browse

Now showing 1 - 10 of 10

Approximate Reconstruction of 3D Scenes From Bas-Reliefs
(The Eurographics Association, 2019) Casati, Pierre; Ronfard, Rémi; Hahmann, Stefanie; Rizvic, Selma and Rodriguez Echavarria, Karina
For thousands of years, bas-reliefs have been used to depict scenes of everyday life, mythology and historic events. Yet, the precise geometry of those scenes remains difficult to interpret and reconstruct. Over the past decade, methods have been developed for generating bas-reliefs from 3D scenes. In this paper, we investigate the inverse problem of interpreting and reconstructing 3D scenes from their bas-relief depictions. Even approximate reconstructions can be useful for art historians and museum exhibit designers, as a first entry to the complete interpretation of the narratives told in stone or marble. To create such approximate reconstructions, we present methods for extracting 3D base mesh models of all characters depicted in a bas-relief. We take advantages of the bas-relief geometry and high-level knowledge of human body proportions to recover body parts and their three-dimensional structure, even in severe cases of contact and occlusion. We present experimental results for 6 bas-relief depictions of Greek mythological and historical scenes involving 18 characters and draw conclusions for future work.
An Automatic Approach for the Classification of Ancient Clay Statuettes Based on Heads Features Recognition
(The Eurographics Association, 2019) Scalas, Andreas; Vassallo, Valentina; Mortara, Michela; Spagnuolo, Michela; Hermon, Sorin; Rizvic, Selma and Rodriguez Echavarria, Karina
In recent years, quantitative approaches based on mathematical theories and ICT tools, known under the terms of digital, computational, and virtual archaeology, are more and more involved in the traditional archaeological research. In this paper, we apply shape analysis techniques to 3D digital replicas of archaeological findings to support their interpretation. In particular, our study focuses on a collection of small terracotta figurines from the ancient sanctuary of Ayia Irini, Cyprus, and it aims at re-analysing the material utilising a quantitative approach. We experiment state of the art techniques (meshSIFT and DBSCAN) to cluster statuettes according to the similarity of their heads, to investigate their production process.
Crack Detection in Single- and Multi-Light Images of Painted Surfaces using Convolutional Neural Networks
(The Eurographics Association, 2019) Dulecha, Tinsae Gebrechristos; Giachetti, Andrea; Pintus, Ruggero; Ciortan, Irina; Villanueva, Alberto Jaspe; Gobbetti, Enrico; Rizvic, Selma and Rodriguez Echavarria, Karina
Cracks represent an imminent danger for painted surfaces that needs to be alerted before degenerating into more severe aging effects, such as color loss. Automatic detection of cracks from painted surfaces' images would be therefore extremely useful for art conservators; however, classical image processing solutions are not effective to detect them, distinguish them from other lines or surface characteristics. A possible solution to improve the quality of crack detection exploits Multi-Light Image Collections (MLIC), that are often acquired in the Cultural Heritage domain thanks to the diffusion of the Reflectance Transformation Imaging (RTI) technique, allowing a low cost and rich digitization of artworks' surfaces. In this paper, we propose a pipeline for the detection of crack on egg-tempera paintings from multi-light image acquisitions and that can be used as well on single images. The method is based on single or multi-light edge detection and on a custom Convolutional Neural Network able to classify image patches around edge points as crack or non-crack, trained on RTI data. The pipeline is able to classify regions with cracks with good accuracy when applied on MLIC. Used on single images, it can give still reasonable results. The analysis of the performances for different lighting directions also reveals optimal lighting directions.
End-to-end Color 3D Reproduction of Cultural Heritage Artifacts: Roseninsel Replicas
(The Eurographics Association, 2019) Domajnko, Matevz; Tanksale, Tejas; Tausch, Reimar; Ritz, Martin; Knuth, Martin; Santos, Pedro; Fellner, Dieter W.; Rizvic, Selma and Rodriguez Echavarria, Karina
Planning exhibitions of cultural artifacts is always challenging. Artifacts can be very sensitive to the environment and therefore their display can be risky. One way to circumvent this is to build replicas of these artifacts. Here, 3D digitization and reproduction, either physical via 3D printing or virtual, using computer graphics, can be the method of choice. For this use case we present a workflow, from photogrammetric acquisition in challenging environments to representation of the acquired 3D models in different ways, such as online visualization and color 3D printed replicas. This work can also be seen as a first step towards establishing a workflow for full color end-to-end reproduction of artifacts. Our workflow was applied on cultural artifacts found around the ''Roseninsel'' (Rose Island), an island in Lake Starnberg (Bavaria), in collaboration with the Bavarian State Archaeological Collection in Munich. We demonstrate the results of the end-to-end reproduction workflow leading to virtual replicas (online 3D visualization, virtual and augmented reality) and physical replicas (3D printed objects). In addition, we discuss potential optimizations and briefly present an improved state-of-the-art 3D digitization system for fully autonomous acquisition of geometry and colors of cultural heritage objects.
Experiencing Art by Means of 3D Printed Replicas: Enriching the Interpretation of Pot Oiseau
(The Eurographics Association, 2019) Samaroudi, Myrsini; Echavarria, Karina Rodriguez; Rizvic, Selma and Rodriguez Echavarria, Karina
Digitally fabricated artefacts or 3D replicas have the potential to enrich the interpretation of cultural assets by enhancing visitors' engagement with collections. However, it is still not well understood how replicas work as interpretative means and what are the actual visitors' attitudes towards them. The contribution of this paper is the development and evaluation of a 3D replica within a realistic interpretative scenario. This research deploys a case study focusing on a 3D printed pot representing an ''authentic'' reproduction of a pot made by Pablo Picasso, currently exhibited at the Brighton Museum and Art Gallery. By detailing the research processes and evaluation results, CH professionals can better perceive the dynamics of replicas as interpretative means within realistic situations; understand their positive contributions and weaknesses; and deploy methods and investigation themes, as presented in this paper. In this way, cultural heritage institutions and especially museums can be assisted when introducing replicas to support their audiences. The developments presented in this paper are part of a larger research project which proposes experience designs or experiential frameworks for the provision of 3D replicas to audiences. Our findings highlight that while there is enormous potential, there is also a need to re-educate people on how to engage with cultural heritage through new interpretative frameworks that are less rigid than those traditionally used in museums.
Lossless Compression of Multi-View Cultural Heritage Image Data
(The Eurographics Association, 2019) von Buelow, Max; Guthe, Stefan; Ritz, Martin; Santos, Pedro; Fellner, Dieter W.; Rizvic, Selma and Rodriguez Echavarria, Karina
Photometric multi-view 3D geometry reconstruction and material capture are important techniques for cultural heritage digitalization. Capturing images of artifacts with high resolution and high dynamic range and the possibility to store them losslessly enables future proof application of this data. As the images tend to consume immense amounts of storage, compression is essential for long time archiving. In this paper, we present a lossless image compression approach for multi-view and material reconstruction datasets with a strong focus on data created from cultural heritage digitalization. Our approach achieves compression rates of 2:1 compared against an uncompressed representation and 1.24:1 when compared against Gzip.
Seismic Simulation on Virtual Reality
(The Eurographics Association, 2019) Fita, Josep Lluis; Besuievsky, Gonzalo; Patow, Gustavo; Rizvic, Selma and Rodriguez Echavarria, Karina
Virtual Reality has been used in Cultural Heritage for providing immersive experiences of recreated and static environments to the final user. However, there is a lack of virtual reality applications for recreating natural phenomena like earthquakes in combination with structural simulations over ancient masonry buildings. In this paper, we describe a solution affordable for all kind of users and designed for running on low-cost devices, where users can have an immersive experience in a virtual environment, where the structural and seismic simulation affects a historical building.
Video Shot Analysis for Digital Curation and Preservation of Historical Films
(The Eurographics Association, 2019) Helm, Daniel; kampel, martin; Rizvic, Selma and Rodriguez Echavarria, Karina
In automatic video analysis and film preservation, Shot Boundary Detection (SBD) and Shot Type Classification (STC) are fundamental pre-processing steps. While previous research focuses on detecting and classifying shots in different video genres such as sports movies, documentaries or news clips only few studies investigate on SBD and STC in historical footage. In order to promote research on automatic video analysis the project Visual History of the Holocaust (VHH) has been started in January 2019. The main aim of this paper is to present first results on the fundamental topics SBD and STC in the context of the project VHH. Therefore, a deep learning-based SBD approach is implemented to detect Abrupt Transitions (ATs). Furthermore, a CNN-based algorithm is analyzed and optimized in order to classify shots into the four categories: Extreme-Long-Shot (ELS), Long-Shot (LS), Medium-Shot (MS) and Close-Up (CU). Finally, both algorithms are evaluated on a self-generated historical dataset related to the National Socialism and the Holocaust. The outcome of this paper demonstrates a first quantitative evaluation of the SBD approach and displays a F1;Score of 0.866 without the need of any re-training or optimization. Moreover, the proposed STC algorithm reaches an accuracy of 0.71 on classifying shots. This paper contributes a significant base for future research on automatic shot analysis related to the project VHH.
Virtual Reality Experience of Sarajevo War Heritage
(The Eurographics Association, 2019) Rizvic, Selma; Boskovic, Dusanka; Okanovic, Vensada; Kihic, Ivona Ivkovic; Sljivo, Sanda; Rizvic, Selma and Rodriguez Echavarria, Karina
Sarajevo War Tunnel can not be visited any more. It was closed just after the war due to the airport runway security. A small part (20m) can be seen in the Tunnel Museum. The only way to experience passing through this object, crucial for Sarajevo survival during the war, is Virtual Reality (VR). The paper describes the Sarajevo War Tunnel VR project, a virtual cultural heritage application combining VR storytelling about the Sarajevo siege with the VR simulation of the tunnel crossing. The user experience evaluation shows the potential of VR technologies in presentation of dark heritage.
Web-based Multi-layered Exploration of Annotated Image-based Shape and Material Models
(The Eurographics Association, 2019) Villanueva, Alberto Jaspe; Pintus, Ruggero; Giachetti, Andrea; Gobbetti, Enrico; Rizvic, Selma and Rodriguez Echavarria, Karina
We introduce a novel versatile approach for letting users explore detailed image-based shape and material models integrated with structured, spatially-associated descriptive information. We represent the objects of interest as a series of registered layers of image-based shape and material information. These layers are represented at multiple scales, and can come out of a variety of pipelines and include both RTI representations and spatially-varying normal and BRDF fields, eventually as a result of fusing multi-spectral data. An overlay image pyramid associates visual annotations to the various scales. The overlay pyramid of each layer can be easily authored at data preparation time using widely available image editing tools. At run-time, an annotated multi-layered dataset is made available to clients by a standard web server. Users can explore these datasets on a variety of devices, from mobile phones to large scale displays in museum installations, using JavaScript/WebGL2 clients capable to perform layer selection, interactive relighting and enhanced visualization, annotation display, and focus-and-context multiple-layer exploration using a lens metaphor. The capabilities of our approach are demonstrated on a variety of cultural heritage use cases involving different kinds of annotated surface and material models.

Browse

Browsing GCH 2019 - Eurographics Workshop on Graphics and Cultural Heritage by Subject "Computing methodologies"

Results Per Page

Sort Options