Focus and context for volume visualization

Cohen, Marcelo; Brodlie, Ken

doi:10.1109/tpcg.2004.1314450

Cited by 20 publications

(9 citation statements)

References 83 publications

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“…Focus + context visualization is a well-established paradigm that aims to show more details in ROI and display an overview of the entire volume data structure [20]. To emphasize a ROI, we decrease the weight of other parts that could create an occlusion effect or disturb our attention.…”

Section: Focus + Context Interaction Toolsmentioning

confidence: 99%

GPU-Based Realtime Hand Gesture Interaction and Rendering for Volume Datasets Using Leap Motion

Shen

Luo

Wang

et al. 2014

2014 International Conference on Cyberworlds

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Touchless interaction has received considerable attention in recent years with benefit of removing the burden of physical contact. To achieve mid-air interaction, several strategies are available. However, since most of these techniques directly map the 2D WIMP GUI to 3D user interface, they lead unnatural result. In this paper, interaction gestures and tools for exploring volume dataset are designed to perform the similar tasks in the real world. We mainly employ the idea of focus + context based on GPU volume raycasting by trapezoid-shaped transfer function when designing interaction tools. User studies are conducted to demonstrate the usability and intuitiveness of our method. The experimental results show a significant advantage in completion time after a short period of training.

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Section: Focus + Context Interaction Toolsmentioning

confidence: 99%

GPU-Based Realtime Hand Gesture Interaction and Rendering for Volume Datasets Using Leap Motion

Shen

Luo

Wang

et al. 2014

2014 International Conference on Cyberworlds

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“…This technique is influenced by traditional handcrafted medical, technical, and scientific illustrations [16]. According to the categorization by Cohen and Brodlie [17], our implemented multiresolution approach to this metaphor of lenses is discontinuous and undistorted like that in [14], as opposed to continuous and distorted techniques in [15], [12]. [21] approach to focus+context visualization in augmented reality applications.…”

Section: B Focus+context Visualizationmentioning

confidence: 99%

Multilevel Focus+Context Visualization Using Balanced Multiresolution

Hasan

Samavati

Jacob

2014

2014 International Conference on Cyberworlds

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Figure 1: Multilevel focus+context visualization of a Plumeria rubra leaf with frangipani rust. Source image: 10496×3328 (S. Fraser-Smith, Wikipedia).Abstract-In this paper, we present the construction of a multilevel focus+context visualization framework for the navigation and exploration of large-scale 2D and 3D images. The presented framework utilizes a balanced multiresolution (BMR) technique supported by a balanced wavelet transform (BWT). This devised framework extends the mode of focus+context visualization, where spatially separate magnification of regions of interest (ROIs) is performed, as opposed to in-place magnification. Each resulting visualization scenario resembles a tree structure, where the root constitutes the main context, each non-root internal node plays the dual roles of both focus and context, and each leaf solely represents a focus. We use the local multiresolution filters of quadratic B-spline to construct the BWT. Our developed prototype supports interactive manipulation of the visualization hierarchy, such as addition and deletion of ROIs and desired changes in their resolutions at any level of the hierarchy on the fly. Changes in the spatial locations of query windows that define the ROIs trigger on-demand reconstruction queries. We describe in detail how to efficiently process such reconstruction queries within the hierarchy of details (wavelet coefficients) contained in the BWT in order to ensure real-time feedback. As the BWT need only be constructed once in a preprocessing phase on the server-side and robust on-demand reconstruction queries require minimal data communication overhead, our presented framework is a suitable candidate for efficient web-based visualization and exploration of complex large-scale imagery.

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“…They integrate different rendering modes and compositing types, such as DVR, MIP, or tone shading for the inner part of the volume and contour enhancement for the outer part. Cohen et al [14] discuss in depth how information visualization ideas can be applied to scientific visualization in an effective way. In particular, they combine the "focus and context" concept with distortion effects to improve understanding of large volume datasets.…”

Section: Related Workmentioning

confidence: 99%

Context Preserving Focal Probes for Exploration of Volumetric Medical Datasets

Luo

Guitián

Gobbetti

et al. 2009

Modelling the Physiological Human

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Abstract. During real-time medical data exploration using volume rendering, it is often difficult to enhance a particular region of interest without losing context information. In this paper, we present a new illustrative technique for focusing on a user-driven region of interest while preserving context information. Our focal probes define a region of interest using a distance function which controls the opacity of the voxels within the probe, exploit silhouette enhancement and use non-photorealistic shading techniques to improve shape depiction.

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Focus and context for volume visualization

Cited by 20 publications

References 83 publications

GPU-Based Realtime Hand Gesture Interaction and Rendering for Volume Datasets Using Leap Motion

GPU-Based Realtime Hand Gesture Interaction and Rendering for Volume Datasets Using Leap Motion

Multilevel Focus+Context Visualization Using Balanced Multiresolution

Context Preserving Focal Probes for Exploration of Volumetric Medical Datasets

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