The Atlas of Lost Rooms:

Hamill, Chris

doi:10.1007/978-3-030-83647-4_14

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…We also used the open-source camera matching application fSpy [38] for semiautomatic camera calibration from a single image. This software was successfully used for augmenting surveillance images [20] and digital reconstructions [39]. The main parts of the developed application, as presented in Figure 1, are the user interface (Section 3.2), the synthetic object placement (Section 3.3), the occlusion of synthetic objects by real background elements (Section 3.4), the automatic annotation of normal and abnormal images (Section 3.5), and the improved blending of the real and synthetic parts of the image through lighting and shadows (Section 3.6).…”

Section: Overviewmentioning

confidence: 99%

User-Centered Pipeline for Synthetic Augmentation of Anomaly Detection Datasets

Rosbak-Mortensen,

Jansen,

Muhlig

et al. 2024

Computers

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Automatic anomaly detection plays a critical role in surveillance systems but requires datasets comprising large amounts of annotated data to train and evaluate models. Gathering and annotating these data is a labor-intensive task that can become costly. A way to circumvent this is to use synthetic data to augment anomalies directly into existing datasets. This far more diverse scenario can be created and come directly with annotations. This however also poses new issues for the computer-vision engineer and researcher end users, who are not readily familiar with 3D modeling, game development, or computer graphics methodologies and must rely on external specialists to use or tweak such pipelines. In this paper, we extend our previous work of an application that synthesizes dataset variations using 3D models and augments anomalies on real backgrounds using the Unity Engine. We developed a high-usability user interface for our application through a series of RITE experiments and evaluated the final product with the help of deep-learning specialists who provided positive feedback regarding its usability, accessibility, and user experience. Finally, we tested if the proposed solution can be used in the context of traffic surveillance by augmenting the train data from the challenging Street Scene dataset. We found that by using our synthetic data, we could achieve higher detection accuracy. We also propose the next steps to expand the proposed solution for better usability and render accuracy through the use of segmentation pre-processing.

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Section: Overviewmentioning

confidence: 99%

User-Centered Pipeline for Synthetic Augmentation of Anomaly Detection Datasets

Rosbak-Mortensen,

Jansen,

Muhlig

et al. 2024

Computers

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Arsinoe 3D

2023

Edizioni Dell’Istituto Papirologico «G. Vitelli»

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The volume illustrates the reconstruction of the excavation mission conducted by the «G. Vitelli» Papyrological Institute in the winter between 1964 and 1965 on the site of Arsinoe, ancient capital of the Fayyum district. Archival materials, archaeological finds and papyri shed light both on the fieldwork and architecture of the area investigated and on aspects of daily life in Ptolemaic and Roman Egypt. Furthermore, the available documentation has been used to make ‘visitable’ again – through 3D models, digital storytelling and augmented reality – an archaeological site that has forever disappeared under the growth of contemporary urbanisation.

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The Atlas of Lost Rooms:

Cited by 2 publications

References 17 publications

User-Centered Pipeline for Synthetic Augmentation of Anomaly Detection Datasets

User-Centered Pipeline for Synthetic Augmentation of Anomaly Detection Datasets

Arsinoe 3D

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