Real-Time Rendering Method and Performance Evaluation of Composable 3D Lenses for Interactive VR

Borst, Christoph W.; Tiesel, Jan-Phillip; Best, Christopher M.

doi:10.1109/tvcg.2009.89

Cited by 6 publications

(6 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, composition of 3D lenses is challenging and difficult to address. Differently from 2D lenses, the order of overlapping of multiple 3D lenses cannot be easily guaranteed [24], [28], [29]. Therefore, to the best of our knowledge, such lens techniques (like 2.5D lenses) also do not allow for more general operations such as brushing and lassoing.…”

Section: Lenses For 3d Data Visualizationmentioning

confidence: 99%

“…Lenses should be designed so as to combine the advantages of both image space and object space to help overcome problems of scalability and interaction. In the literature, most of the techniques are either limited to one lens or do not support the interaction between multiple lenses [29]. For example, the join operation [16] in 2.5D and 3D lenses is difficult to implement due to orientation problems (2.5D) or the generation of nonconvex regions (3D) [24], [29].…”

Section: Design Goalsmentioning

confidence: 99%

See 1 more Smart Citation

Decal-Lenses: Interactive Lenses on Surfaces for Multivariate Visualization

Rocha

Silva

Alim

et al. 2019

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

We present decal-lenses, a new interaction technique that extends the concept of magic lenses to augment and manage multivariate visualizations on arbitrary surfaces. Our object-space lenses follow the surface geometry and allow the user to change the point of view during data exploration while maintaining a spatial reference to positions where one or more lenses were placed. Each lens delimits specific regions of the surface where one or more attributes can be selected or combined. Similar to 2D lenses, the user interacts with our lenses in real-time, switching between different attributes within the lens context. The user can also visualize the surface data representations from the point of view of each lens by using local cameras. To place lenses on surfaces of intricate geometry, such as the human brain, we introduce the concept of support surfaces for designing interaction techniques. Support surfaces provide a way to place and interact with the lenses while avoiding holes and occluded regions during data exploration. We further extend decal-lenses to arbitrary regions using brushing and lassoing operations. We discuss the applicability of our technique and present several examples where our lenses can be useful to create a customized exploration of multivariate data on surfaces.

show abstract

Section: Lenses For 3d Data Visualizationmentioning

confidence: 99%

Section: Design Goalsmentioning

confidence: 99%

Decal-Lenses: Interactive Lenses on Surfaces for Multivariate Visualization

Rocha

Silva

Alim

et al. 2019

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

show abstract

“…Borst et al . provides a comparison of lens rendering techniques in terms of rendering passes necessary, allowed lens geometry and performance. Earlier lens rendering research required multiple passes to render Magic Lens effects.…”

Section: Previous Workmentioning

confidence: 99%

“…Previous research efforts either used separate passes to do this (Borst et al . provides an overview ) or checked each sample during the volume rendering process . Especially for volume ray casting using GPU architectures, this approach presents problems because it requires the shader to perform different actions for each sample based on the result of the in–out checks.…”

Section: Magic Lens Visualizationmentioning

confidence: 99%

Interactive focus + context medical data exploration and editing

Kirmizibayrak

Wakid

Yim

et al. 2013

Computer Animation & Virtual

View full text Add to dashboard Cite

Volumetric datasets are increasingly used in medical applications. In many of these applications, visualization and interaction is generally performed on cross‐sectional two‐dimensional (2D) views of three‐dimensional (3D) imaging modalities. Displaying 3D volumetric medical datasets on traditional 2D screens can present problems such as occlusion and information overload, especially when multiple data sources are present. Displaying desired information while showing the relationship to the rest of the dataset(s) can be challenging. In this paper, we present an interactive focus + context visualization approach that uses the volumetric Magic Lens interaction paradigm. We propose to use the Magic Lens as a volumetric brush to perform volume editing tasks, therefore combining data exploration with volumetric editing. Polygon‐assisted ray casting methods are used for real‐time rendering and editing frame rates, while providing compact storage of editing states for undo/redo operations. We discuss the application of our methods to radiation therapy, which is an important cancer treatment modality. We envision that this approach will improve the treatment planning process by improving the therapists' understanding of information from various sources and will help identify if the alignment of the patient in the treatment room coincides with the prepared treatment plan. Copyright © 2013 John Wiley & Sons, Ltd.

show abstract

“…The first application of a magic lens in the medical domain for an improved dataset exploration was proposed by Viega et al [2]. Other researchers have further extended the focus+context paradigm to multiple volumetric lenses [16], various volume distortions-e.g., zooming [17][18][19], and different techniques for volume rendering [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Generalized Temporal Focus + Context Framework for Improved Medical Data Exploration

2014

View full text Add to dashboard Cite

Physicians use slices and 3D volume visualizations to place a diagnosis, establish a treatment plan and as a guide during surgical procedures. There is an observed difference in 2D and 3D visualization objectives of the various groups of specialists. We describe a generalized temporal focus + context framework that unifies different widely used and novel visualization methods. The framework is used to classify already existing common techniques and to define new techniques that can be used in medical volume visualization. The new techniques explore the time-dependent position of the framework focus region to combine 2D and 3D rendering inside the focus and to provide a new focus-driven context region that gives explicit spatial perception cues between the current and past regions of interest. An arbitrary-shaped focus region and no context rendering are two novel framework-based techniques that support improved planning of procedures that involve drilling or endoscopic exploration. The new techniques are quantitatively compared to already existing techniques by means of a user study.

show abstract

Real-Time Rendering Method and Performance Evaluation of Composable 3D Lenses for Interactive VR

Cited by 6 publications

References 18 publications

Decal-Lenses: Interactive Lenses on Surfaces for Multivariate Visualization

Decal-Lenses: Interactive Lenses on Surfaces for Multivariate Visualization

Interactive focus + context medical data exploration and editing

Generalized Temporal Focus + Context Framework for Improved Medical Data Exploration

Contact Info

Product

Resources

About