A Volume Rendering Engine for Desktops, Laptops, Mobile Devices and Immersive Virtual Reality Systems using GPU-Based Volume Raycasting

Noon, Christian

doi:10.31274/etd-180810-1752

Cited by 9 publications

(9 citation statements)

References 153 publications

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“…This limiting factor is a recurrent issue found by several researchers [24], [27], [31] that caps the maximum number of iterations of the ray-traversal loop. For example, Movania and Feng [24] reported that the maximum number of ray-casting steps supported by the Samsung Galaxy S II smartphone was around 100.…”

Section: Ray-castingmentioning

confidence: 99%

“…But in spite of these issues, several researchers [6], [28], [18], [23], [27] have recently dusted off this technique because it provides a number of advantages that makes it very akin to the constrained mobile platforms:…”

Section: D-textured Slicingmentioning

confidence: 99%

“…Unfortunately, this technique is not free from additional problems [27]. First, it requires additional computations in the GPU in order to transform 3D texture coordinates into 2D coordinates, which can slow down the process.…”

Section: Flat 3d Texturementioning

confidence: 99%

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Mobile Volume Rendering: Past, Present and Future

Noguera

Jiménez

2016

IEEE Trans. Visual. Comput. Graphics

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Volume rendering has been a relevant topic in scientific visualization for the last decades. However, the exploration of reasonably big volume datasets requires considerable computing power, which has limited this field to the desktop scenario. But the recent advances in mobile graphics hardware have motivated the research community to overcome these restrictions and to bring volume graphics to these ubiquitous handheld platforms. This survey presents the past and present work on mobile volume rendering, and is meant to serve as an overview and introduction to the field. It proposes a classification of the current efforts and covers aspects such as advantages and issues of the mobile platforms, rendering strategies, performance and user interfaces. The paper ends by highlighting promising research directions to motivate the development of new and interesting mobile volume solutions.

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Section: Ray-castingmentioning

confidence: 99%

Section: D-textured Slicingmentioning

confidence: 99%

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Mobile Volume Rendering: Past, Present and Future

Noguera

Jiménez

2016

IEEE Trans. Visual. Comput. Graphics

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“…Virtual reality provides a powerful platform for presenting three-dimensional data in a clear way. Medical data is commonly visualized in VR or on stereoscopic displays 29 Virtual reality is a powerful technology, but is not without its limitations. The primary limitation is that in VR, most, if not all, of what the user sees is computer-generated.…”

Section: How Vr Can Benefit Trainingmentioning

confidence: 99%

A software framework for initializing, running, and maintaining mixed reality environments

Kopecky

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Immersive environments have become increasingly important in the past decade in areas such as training, data visualization, and even entertainment. While terms such as virtual reality (VR), mixed reality (MR), and augmented reality (AR) are often used to describe different types of immersion, it should be noted that these technologies exist along a continuum defined by level of immersion (Milgram and Kishino 1994). VR is at the most immersive end of this continuum, consisting of experiences where most or all of the user's field of vision is replaced by computer-generated imagery (CGI). At the other end, AR refers to text or images overlaid onto the the user's view of the world, such as the heads-up display of an airplane. The user is immersed only in the real world. Finally, MR is the term used for immersive environments that can't be clearly defined as either AR or VR. An example of MR discussed several times in this article is that of a military training environment consisting of physical sets and props. Displays mounted inside windows and doors show 3D images of the larger, virtual world in which the training takes place. To make MR work, many technologies, such as computer generated (CG) graphics, positional tracking, and input devices are all required. Graphics typically consist of animated 3D models and special effects representative of what a trainee would encounter in an actual situation. They can be front-or rear-projected onto screens or use video displays for presentation to a trainee. Each display can be connected to the primary computer running the simulation, or an application can be clustered, in which multiple computers each generate graphics for connected displays. Position tracking, or just "tracking", is a term for the real-time collection of data specifying the position and ! v orientation of objects involved in a simulation. Tracking data usually describes all six degrees of freedom (DOF) of an object in space, but for certain situations, only three DOF are necessary, such as an object that rests on the ground and only moves along two axes while rotating about a single axis. This data can be acquired in many ways. Trackers can use image analysis, electromagnetic fields, solid state accelerometers and gyroscopes, ultrasonic bursts, or a combination of these to determine an object's position and orientation. Finally, input devices act as a proxy for the real tools a trainee would use on the job. Gamepads, smartphones, and simulated weapons can stand in for switches, control panels, or real weapons. These devices send signals back to the computer(s) running the simulation describing their state (e.g., if a button is pressed) and can be tracked if their position and orientation are relevant to how their real-life counterparts are used. One particular type of simulation paradigm called LVC (Live, Virtual, Constructive), involves live participants interacting with virtual players (i.e. on laptop computers), as well as computer-simulated (constructive) players. When LVC training is combined with VR ...

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“…Volumetric measurements are commonly found in medical imaging in the form of MRI and CT scans. There have been many attempts to visualize these data in virtual reality, which provides a good foundation for the work herein (Haubner et al, 1997;He et al, 2007;Noon, 2012). However, it should be noted that there is one key difference between medical volumes and fluid flow volumes.…”

Section: Introductionmentioning

confidence: 99%

Characterization of multiphase flows integrating X-ray imaging and virtual reality

Morgan¹

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Voxel position in the y-direction (-) J Height of a tomographic slice (-) k Voxel position in the z-direction (-) Kalman filter time index (-) l X-ray path length (cm) Left plane x-coordinate of viewing volume (-) m Second statistical moment (-) M Number of projections (-) Max Maximum possible pixel value (-) Min Minimum possible pixel value (-) n Number of voxels (-) Near plane z-coordinate of viewing volume (-) Bit depth of an individual channel of an image (-)

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A Volume Rendering Engine for Desktops, Laptops, Mobile Devices and Immersive Virtual Reality Systems using GPU-Based Volume Raycasting

Cited by 9 publications

References 153 publications

Mobile Volume Rendering: Past, Present and Future

Mobile Volume Rendering: Past, Present and Future

A software framework for initializing, running, and maintaining mixed reality environments

Characterization of multiphase flows integrating X-ray imaging and virtual reality

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