SiXton's curse &amp;#x2014; Simulator X demonstration

Fischbach, Martin; Wiebusch, Dennis; Giebler-Schubert, Anke; Latoschik, Marc Erich; Rehfeld, Stephan; Tramberend, Henrik

doi:10.1109/vr.2011.5759495

Cited by 17 publications

(10 citation statements)

References 1 publication

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“…This is the expected frame rate and confirms the results of intra-node inter-node (9 Render nodes) sync 60 5 no sync 60 60 existing demo applications [8,9,10,7].…”

Section: Resultssupporting

confidence: 81%

An actor-based distribution model for Realtime Interactive Systems

Rehfeld

Tramberend

Latoschik

2013

2013 6th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS)

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This article illustrates the design and development of distribution properties for Realtime Interactive Systems (RIS). The approach is based on the actor model for concurrent computation. The actor model provides a unified API for intra-node as well as for inter-node distribution and strongly facilitates the development of concurrent applications. Several benchmarks analyze vital performance properties to support the design decisions taken. The benchmarks describe typical setups found in RIS-applications, i.e., distributed rendering for large screen and tiled displays in immersive VR setups. Actual and potential performance impacts caused by the actor middleware are analyzed and identified and alternative solutions to overcome these impacts are provided.

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“…This is the expected frame rate and confirms the results of intra-node inter-node (9 Render nodes) sync 60 5 no sync 60 60 existing demo applications [8,9,10,7].…”

Section: Resultssupporting

confidence: 81%

An actor-based distribution model for Realtime Interactive Systems

Rehfeld

Tramberend

Latoschik

2013

2013 6th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS)

Self Cite

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“…In [20,35,56], a general-purpose tool and method of 3D content creation has been described. The method is based on actors and entities, which represent 3D content at a high level, are described by shared state variables and are subject to events.…”

Section: Related Workmentioning

confidence: 99%

Inference-based creation of synthetic 3D content with ontologies

Walczak

Flotyński

2018

Multimed Tools Appl

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Creation of synthetic 3D content is typically a complex task, covering different geometrical, structural, spatial and presentational elements. The available approaches enable 3D content creation by programming or visual modeling of its elements. This demands expertise in computer science from content authors, limits the possibilities of using domain knowledge, and requires to determine all content details within the content creation process. In this paper, we propose a new method of 3D content creation, which is based on ontologies.Ontologies are the foundation of the semantic web, enabling the use of knowledge in various domains. In the proposed method, the use of ontologies facilitates 3D content creation by domain experts without skills in programming and computer graphics. In addition, due to the use of ontologies, the method enables automated reasoning, liberating the authors from determining many elements of the created content, which can be inferred by the content generation algorithm on the basis of explicitly specified content elements. The method has been implemented and evaluated. It simplifies 3D content creation in comparison to the available approaches by reducing the number of activities that must be completed by the content authors. Hence, the proposed method can increase the use of 3D content in different application domains.

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“…In the Simulator X [FWGS*11, LT11, WL12], the selection of elements to be included in the created content is performed by a user. The selected elements (actors and entities) are configured using state variables, which can be shared by different actors in the content.…”

Section: Classification Of Ontology‐based Approachesmentioning

confidence: 99%

Ontology‐Based Representation and Modelling of Synthetic 3D Content: A State‐of‐the‐Art Review

Flotyński

Walczak

2017

Computer Graphics Forum

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An indispensable element of any practical 3D/VR/AR application is synthetic three‐dimensional (3D) content. Such content is characterized by a variety of features—geometry, structure, space, appearance, animation and behaviour—which makes the modelling of 3D content a much more complex, difficult and time‐consuming task than in the case of other types of content. One of the promising research directions aiming at simplification of modelling 3D content is the use of the semantic web approach. The formalism provided by semantic web techniques enables declarative knowledge‐based modelling of content based on ontologies. Such modelling can be conducted at different levels of abstraction, possibly domain‐specific, with inherent separation of concerns. The use of semantic web ontologies enables content representation independent of particular presentation platforms and facilitates indexing, searching and analysing content, thus contributing to increased content re‐usability. A range of approaches have been proposed to permit semantic representation and modelling of synthetic 3D content. These approaches differ in the methodologies and technologies used as well as their scope and application domains. This paper provides a review of the current state of the art in representation and modelling of 3D content based on semantic web ontologies, together with a classification, characterization and discussion of the particular approaches.

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SiXton's curse — Simulator X demonstration

Cited by 17 publications

References 1 publication

An actor-based distribution model for Realtime Interactive Systems

An actor-based distribution model for Realtime Interactive Systems

Inference-based creation of synthetic 3D content with ontologies

Ontology‐Based Representation and Modelling of Synthetic 3D Content: A State‐of‐the‐Art Review

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