Mixed Reality and Gamification for Cultural Heritage 2017
DOI: 10.1007/978-3-319-49607-8_23
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Modelling of Static and Moving Objects: Digitizing Tangible and Intangible Cultural Heritage

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Cited by 34 publications
(17 citation statements)
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“…A variety of information types exist in the domain of CH: despite the effort towards digitizing information and creating data models with semantic information regarding CH [13], the majority of information remains unstructured. Large amounts of data include unstructured information in the form of multimedia such as images, videos, textual descriptions and analyses, and audio content.…”
Section: Cultural Heritage Information Modellingmentioning
confidence: 99%
“…A variety of information types exist in the domain of CH: despite the effort towards digitizing information and creating data models with semantic information regarding CH [13], the majority of information remains unstructured. Large amounts of data include unstructured information in the form of multimedia such as images, videos, textual descriptions and analyses, and audio content.…”
Section: Cultural Heritage Information Modellingmentioning
confidence: 99%
“…Currently, the scientific community tends to utilize both surveys, especially in cultural heritage documentation where the building materials play a pivotal role in the documentation process. In this case, both survey methods are elaborated and integrated, providing a textured 3D model [12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%
“…The recent advances in depth sensors, which have concluded to the development of low-cost 3D capturing systems, such as Microsoft Kinect [7] or Intel RealSense [8], permit easy capturing of human skeleton joints, in 3D space, which are then properly analyzed to extract dance kinematics [9]. The preservation of folk dances can be facilitated by modern Information and Communication Technologies by leveraging recent developments in a variety of areas, such as storage, image and video processing, machine learning, cloud computing, crowdsourcing, and automatic semantic annotation, to name a few [10].…”
Section: Introductionmentioning
confidence: 99%