Virtual archaeology

Kirchner, Steffen; Jablonka, Peter

doi:10.1145/584993.585030

Cited by 7 publications

(2 citation statements)

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“…Various projects exploring the application of Virtual and Augmented Reality in underwater locations aim to facilitate virtual exploration for non-divers, raise awareness, and advocate for Underwater Cultural Heritage (UCH) through educational games. Additionally, these technologies support in-depth examination, analysis of complex excavations, and monitoring their development over time [29] [30] [31] [32] [33] [34]. The proposed 3D model, relying on 3D instance segmentation, is designed to consist of two distinct backend components and a unified frontend.…”

Section: Upcoming Investigationsmentioning

confidence: 99%

Efficient 3D Instance Segmentation for Archaeological Sites Using 2D Object Detection and Tracking

kamal Al-anni,

DRAP

2024

IJCDS

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This paper introduces an efficient method for 3D instance segmentation based on 2D object detection, applied to the photogrammetric survey images of archaeological sites. The method capitalizes on the relationship between the 3D model and the set of 2D images utilized to compute it. 2D detections on the images are projected and transformed into a 3D instance segmentation, thus identifying unique objects within the scene. The primary contribution of this work is the development of a semi-automatic image annotation method, augmented by an object tracking technique that leverages the temporal continuity of image sequences. Additionally, a novel ad-hoc evaluation process has been integrated into the conventional annotation-training-testing cycle to determine the necessity of additional annotations. This process tests the consistency of the 3D objects yielded by the 2D detection. The efficacy of the proposed method has been validated on the underwater site of Xlendi in Malta, resulting in complete and accurate 3D instance segmentation. Compared to traditional methods, the object tracking approach adopted has facilitated a 90% reduction in the need for manual annotations, The approach streamlines precise 3D detection, establishing a robust foundation for comprehensive 3D instance segmentation. This enhancement enriches the 3D survey, providing profound insights and facilitating seamless exploration of the Xlendi site from an archaeological perspective.

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Section: Upcoming Investigationsmentioning

confidence: 99%

Efficient 3D Instance Segmentation for Archaeological Sites Using 2D Object Detection and Tracking

kamal Al-anni,

DRAP

2024

IJCDS

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“…Similarly, "digital archaeology" was defined as the way to explore the relationship between archaeology and information and communication technology (Evans & Daly 2006). "Virtual archaeology" (for the history of virtual reality and virtual archaeology, see Frischer & Dakouri-Hild 2008, Frischer et al 2002, Kirchner & Jablonka 2001, Reilly 1991) was adapted from anthropology (Weber 2014) and is defined as "the introduction of fundamentally changed working methods in archaeology with the aid of the most modern technologies, not only in the area of primary data acquisition but also in data processing and editing for scientific purposes and for the presentation of archaeological knowledge to a broad general public" (Kirchner & Jablonka 2001, p. 235).…”

Section: Introductionmentioning

confidence: 99%

Reaching the Point of No Return: The Computational Revolution in Archaeology

Grosman

2016

Annu. Rev. Anthropol.

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Archaeologists generally agree that high-power computer technology constitutes the most efficient venue for addressing many issues in archaeological research. Digital techniques have become indispensable components of archaeological surveys, fieldwork, lab work, and communication between researchers. One of the greatest advantages of the digital approach is its ability to examine large assemblages of items using advanced statistical methods. Digital documentation has reached the point of no return in archaeological research, and reverting to traditional methods is highly improbable. However, digital data may also contain additional information that has yet to be extracted by computer analysis. In this arena, new computer algorithms can be triggered by research questions that cannot be addressed without digital models.

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Enhancing User Role in Augmented Reality Interactive Simulations

Valentini

2012

Human Factors in Augmented Reality Environments

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Scientific literature reports an increasing interest for the development of applications of augmented reality (AR) in many different fields [1][2][3]. The AR has been used in entertainment [4][5][6][7][8], education [9][10][11][12], medicine [13][14][15], military field [16,17], implant and components maintenance [18,19], robotics [20], engineering [21][22][23][24][25][26][27][28] and archeology [29,30]. Some recent developments about mobile augmented reality applications have been discussed in Chaps. 6 and 7. The most of all these applications deals with the merging in the real world of objects, scenes and animations which have been modeled and simulated outside the system. It means that the user perceives a real scene augmented with pre-computed objects. For these reasons, his interaction with the augmented scene is often limited to visual and acoustic exploration.In 1999 the International Standard Organization (ISO) provided a definition of an interactive system as: "An interactive system is a combination of hardware and software components that receive input from, and communicate output to, a human user in order to support his or her performance of a task". The recent improvements of both hardware and software performances fuelled the development of innovative methodologies in order to increase of the interaction between the user and the scene [31,32]. The purpose of these enhancements is to change the user role from spectator to actor. The main idea to achieve this objective is to use innovative approaches for going beyond a mere visual or acoustical experience of pre-computed contents, including the capability of real-time modifying and updating the contents of the scene and the two-ways interaction.

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Virtual archaeology

Cited by 7 publications

References 1 publication

Efficient 3D Instance Segmentation for Archaeological Sites Using 2D Object Detection and Tracking

Efficient 3D Instance Segmentation for Archaeological Sites Using 2D Object Detection and Tracking

Reaching the Point of No Return: The Computational Revolution in Archaeology

Enhancing User Role in Augmented Reality Interactive Simulations

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