Virtual world explorations by using topological and semantic knowledge

Sokolov, Dmitry; Plemenos, Dimitri

doi:10.1007/s00371-007-0182-z

Cited by 29 publications

(14 citation statements)

References 6 publications

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“…Early works used simple heuristics such as the "three-quarter view" [Palmer et al 1981;Blanz et al 1999], minimizing degenerated projection of polygon [Kamada and Kawai 1988;Gómez et al 2001], maximizing the visible projected area on the screen [Sokolov and Plemenos 2008], or artistic composition [Gooch et al 2001]. Later, more advanced methods from scene understanding utilized the entropy functions and selected good viewpoints by maximizing the visible saliency of an object [Vázquez et al 2003;Page et al 2003;Sokolov and Plemenos 2008;Lee et al 2005]. The work of Polonsky et al [2005] categorizes such viewpoint descriptors and examines their effectiveness in determining the viewpoint quality.…”

Section: Related Workmentioning

confidence: 99%

Motion overview of human actions

et al. 2008

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Figure 1: Our algorithm analyzes human motion data to generate an overview video clip. On the right, a bird's eye view on the character reference location (shown in red) and our generated multi-shot camera control path (shown in blue-green) AbstractDuring the last decade, motion capture data has emerged and gained a leading role in animations, games and 3D environments. Many of these applications require the creation of expressive overview video clips capturing the human motion, however sufficient attention has not been given to this problem. In this paper, we present a technique that generates an overview video based on the analysis of motion capture data. Our method is targeted for applications of 3D character based animations, automating, for example, the action summary and gameplay overview in simulations and computer games. We base our method on quantum annealing optimization with an objective function that respects the analysis of the character motion and the camera movement constraints. It automatically generates a smooth camera control path, splitting it to several shots if required. To evaluate our method, we introduce a novel camera placement metric which is evaluated against previous work and conduct a user study comparing our results with the various systems.

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Section: Related Workmentioning

confidence: 99%

Motion overview of human actions

et al. 2008

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“…Based on observations, we classify viewpoint selection methods by their input data: 3D models [VFSH01, LVJ05, PPB * 05], volume data [TFN05, BS05, JS06] and virtual environment [SP08]. Here we only explore viewpoint selection methods most related to our work.…”

Section: Introductionmentioning

confidence: 99%

Motion lenses

Yang

Huang

Chen

2009

Proceedings of the 2009 Computer Graphics International Conference

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Camera control plays an important role in computer graphics for producing expressive images or animations. An appropriate viewing setting usually enhances the richness and quality of the generated results. In this paper, we propose an automatic method to determine the viewing parameters (e.g., camera position, camera distance) of motions based on the cinematography, artistic composition, and film editing rules. Our method addresses four main issues embedded in this problem: camera placement, shot determination, view selection of shot, and view refinement. For the first issue, based on cinematographic rules, we argue that character's vision and orientation as features, which are used to determine the number of cameras and their positions. For the second issue, we propose a motion segmentation method to convert a sequence into motion cuts, which represent the shots of the motion. For the third issue, a view selection algorithm based on visibility measure is devised to select an appropriate camera (view). For the fourth issue, we finalize the camera parameters by considering type of shot, common visual axis, and artistic composition. Comparing to fixed-view shots, our results convey more information by providing viewers with better visual appeal and scene understanding.

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“…In [26,28,46], a technique of integration of knowledge into VR applications, a framework for decoupling components in real-time intelligent, interactive systems with ontologies and a concept of semantic entities in VR applications have been discussed. In [38], a camera controlling approach to exploration of virtual worlds in real time by using topological and semantic knowledge has been proposed.…”

Section: State Of the Artmentioning

confidence: 99%

“…In the example, the woman statuette is to be used by domain experts in three different forms: as wooden and glassy virtual artifacts (lines 4-26) and as a painted virtual artifact with the inherent texture mapping (28)(29)(30)(31)(32)(33)(34)(35). The other models are to be used in single forms (lines [37][38][39][40][41][42][43][44][45]. In addition, the developer creates the crr:TouchSensor (47-51), which activates the crr:RotatingInterpolator (53-63) controlled by the crr:TimeSensor (65-69), which will enable the artifacts in virtual museum scenes to be rotated after being touched.…”

Section: Listing 1 a Concrete Content Representation (Crr)mentioning

confidence: 99%

“…Mapping the other classes of the application-specific ontology to PO classes has been performed in a similar fashion (19)(20)(21). Moreover, two basic shapes (the rm:Box and the rm:Cylinder) are designed (23)(24)(25)(26)(27)(28)(29)(30)(31)(32) and assembled into the aso:Stool PO class (33)(34)(35)(36)(37)(38)(39)(40). Every rm:Box and rm:Cylinder included in a aso:Stool have dimensions and relative positions specified (41-52).…”

Section: Listing 1 a Concrete Content Representation (Crr)mentioning

confidence: 99%

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Conceptual knowledge-based modeling of interactive 3D content

Flotyński

Walczak

2014

Vis Comput

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Three-dimensional content offers a powerful medium enabling rich, interactive visualization in virtual and augmented reality systems, which are increasingly used in a variety of application domains, such as education, training, tourism and cultural heritage. The creation of interactive 3D presentations is typically a complex process covering diverse aspects of the content such as geometry, structure, space, appearance, animation and behavior. Recent trends in the development of the semantic web provide new opportunities for simplifying 3D content creation, which may be performed at different levels of abstraction and may encompass the inference of hidden knowledge, which may influence the created content. However, the available approaches to 3D content creation do not enable conceptual knowledgebased modeling of 3D content. The main contribution of this paper is an approach to semantic creation of 3D content. The proposed solution leverages the semantic web techniques to enable conceptual, knowledge-driven content creation. The proposed approach has been implemented and evaluated. It has been shown that the approach can significantly simplify modeling of advanced 3D content presentations in comparison with the available approaches.

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Virtual world explorations by using topological and semantic knowledge

Cited by 29 publications

References 6 publications

Motion overview of human actions

Motion overview of human actions

Motion lenses

Conceptual knowledge-based modeling of interactive 3D content

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