Objective 1: Study, analyze and evaluate the digitization technologies for significantly decreasing the capturing complexity by introducing low cost devices able to acquire high quality depth information in real-time and compare such smart sensors with imaging technologies (enhanced through the use of computer vision tools, data processing and 3D modeling) in order to result in accurate virtual reconstructions of moving, complex (non-rigid) objects which dynamically interact with each other and with the environment.
Objective 2: Research on data pre-/post processing and mathematical modeling with the purpose of automating the 3D content digitization by estimating geometrically enriched features accompanied with visual matching and learning methodologies. Such tools enable the association of different multi-view captured images in a common virtual interface, reducing the digitization complexity, increasing automation, data quality and accuracy.
Objective 3: Research on 3D computer vision and extraction of semantic and ontological signatures by transforming the captured 3D visual signals into a set of symbolic representations (low level metadata model). In this technological direction, the project will investigate computational geometry methodologies for modeling human movement by estimating the trajectory of Laban movement analysis points, as well as methods for measuring, in a semi-automatic way, human creativity, that is the way of expression (mainly the style of a performance).
Objective 4: Research on generating virtual scenes and enrichment of the captured 3D data with additional knowledge and virtual objects. The project will investigate advanced methods in the area of 3D/4D rendering of planet-size geographic and/or architectural environments, even under a perceptualized way, enriched with animation (e.g. characters) using a virtual globe approach that will offer a unique, homogeneous and intuitive visual interface to access any cultural knowledge in its geographic context.
Objective 5: Research on selected Folk music, -songs, -instruments, number and sex of persons (male, female, young or old dancers) and -uniforms of EU Folklore performing arts (executed by professional adult dancers only). The project will explore the conditions and all the parameters which are related with the above-mentioned topics, such as the geographic area and the region, the environmental conditions e.g. +Climate, the history and the time period of the year and conditions on which this performance is taking place (wedding, national celebration, etc).
Objective 6: Research on the choreography by providing an interoperable framework for representing the intangible traditional performing arts through a set of metadata and complex associations (ontology structure). The proposed high level metadata model and the respective structure will be used to encode the overall human creativity, which is a very significant aspect for the protection and preservation of the traditional folklore performances.
Objective 7: Research on alignment of the developed metadata model and the respective metadata structure with the EUROPEANA and UNESCO (the Memory of the World) activities by following (or even adapting) existing specifications used for representing and encoding tangible cultural resources. In this way, the ground-breaking project allows easy interconnection with existing cultural libraries, permitting easy manipulation, enrichment, use and re-use of the captured traditional performances with other tangible or intangible content.
Objective 8: Research on evaluating and verifying the developed innovative technology framework by comparing it with current state of the art methods both in terms of data accuracy, quality and performance confirming and indicating how economical is the proposed innovative technology (through the incorporation of advanced methods in computer vision, 3D modeling and virtual reconstruction) compared with current expensive digitization and available on the market general documentation methods.