Fast volumetric deformation on general purpose hardware

Rezk‐Salama, Christof; Scheuering, Michael; Soza, Grzegorz; Greiner, Günther

doi:10.1145/383507.383517

Cited by 55 publications

(28 citation statements)

References 19 publications

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“…Kurzion and Yagel [16] introduces methods to simulate deformation using ray distortion. Recently, this idea has been enhanced to the real-time volume animation system using GPU computation by Westermann and Rezk-Salama [17], [18]. Although this is not the main focus of this paper, we are also fully benefited by recent real-time volume graphics technologies to visualize the result [19].…”

Section: Articulated Human Body Deformation From Scansmentioning

confidence: 99%

Scan-Based Volume Animation Driven by Locally Adaptive Articulated Registrations

Rhee

Lewis

Neumann

et al. 2011

IEEE Trans. Visual. Comput. Graphics

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Abstract-This paper describes a complete system to create anatomically accurate example-based volume deformation and animation of articulated body regions, starting from multiple in vivo volume scans of a specific individual. In order to solve the correspondence problem across volume scans, a template volume is registered to each sample. The wide range of pose variations is first approximated by volume blend deformation (VBD), providing proper initialization of the articulated subject in different poses. A novel registration method is presented to efficiently reduce the computation cost while avoiding strong local minima inherent in complex articulated body volume registration. The algorithm highly constrains the degrees of freedom and search space involved in the non-linear optimization, using hierarchical volume structures and locally constrained deformation based on the biharmonic clamped spline. Our registration step establishes a correspondence across scans, allowing a data-driven deformation approach in the volume domain. The results provide an occlusion free person-specific 3D human body model, asymptotically accurate inner tissue deformations, and realistic volume animation of articulated movements driven by standard joint control estimated from the actual skeleton. Our approach also addresses the practical issues arising in using scans from living subjects. The robustness of our algorithms is tested by their applications on the hand, probably the most complex articulated region in the body, and the knee, a frequent subject area for medical imaging due to injuries.

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Section: Articulated Human Body Deformation From Scansmentioning

confidence: 99%

Scan-Based Volume Animation Driven by Locally Adaptive Articulated Registrations

Rhee

Lewis

Neumann

et al. 2011

IEEE Trans. Visual. Comput. Graphics

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show abstract

“…A key element of their approach is to not deform the volume itself, but rather the mapping into the volume. Rezk-Salama et al [17] describe an approach for volume deformation that works by adaptively subdividing the volume into blocks which can be linearly deformed. They reached interactive rendering speeds for small datasets on then-available programmable graphics hardware.…”

Section: Related Workmentioning

confidence: 99%

SeiVis: An Interactive Visual Subsurface Modeling Application

Höllt¹,

Freiler

Gschwantner

et al. 2012

IEEE Trans. Visual. Comput. Graphics

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The most important resources to fulfill today's energy demands are fossil fuels, such as oil and natural gas. When exploiting hydrocarbon reservoirs, a detailed and credible model of the subsurface structures is crucial in order to minimize economic and ecological risks. Creating such a model is an inverse problem: reconstructing structures from measured reflection seismics. The major challenge here is twofold: First, the structures in highly ambiguous seismic data are interpreted in the time domain. Second, a velocity model has to be built from this interpretation to match the model to depth measurements from wells. If it is not possible to obtain a match at all positions, the interpretation has to be updated, going back to the first step. This results in a lengthy back and forth between the different steps, or in an unphysical velocity model in many cases. This paper presents a novel, integrated approach to interactively creating subsurface models from reflection seismics. It integrates the interpretation of the seismic data using an interactive horizon extraction technique based on piecewise global optimization with velocity modeling. Computing and visualizing the effects of changes to the interpretation and velocity model on the depth-converted model on the fly enables an integrated feedback loop that enables a completely new connection of the seismic data in time domain and well data in depth domain. Using a novel joint time/depth visualization, depicting side-by-side views of the original and the resulting depth-converted data, domain experts can directly fit their interpretation in time domain to spatial ground truth data. We have conducted a domain expert evaluation, which illustrates that the presented workflow enables the creation of exact subsurface models much more rapidly than previous approaches.

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“…As GPUs performance improves, recent volume rendering for the deformation has been performed on rendering stage rather than modeling stage [6][7][8]. To avoid dealing with complex meshes in proxy-based space warping, deformation can be defined as a point-wise warping of the volume.…”

Section: Original Articlementioning

confidence: 99%

Anti-aliasing on deformed area using adaptive super sampling during volume ray-casting

2011

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Purpose In modern GPUs, deformation has been possible to perform direct space warping in texture-based rendering and GPU-based ray-casting. The problem of direct space warping is lead to provide aliasing artifacts on deformed area. The variation of sampling interval in original space and deformed space is cause of the aliasing. Methods To reduce this artifact, we apply the adaptive super sampling method to deformed area. We divide view plane into several areas and applied different super sampling kernel to each detected aliased region. Firstly, we decide the deformed area using deformation mask which includes transformed position. Secondly, we select a boundary region in the deformed area. Aliasing artifact mostly appears in a boundary of an object. Then we execute super sampling on the intersection of deformed and boundary regions. Results We reduce rendering time which is cause of additional super sampling operation by selecting the target area of view plane. Our method has been about 20% faster than the fully super sampled method since we reduced the super sampling region in the view plane. Conclusions Volume deformation is commonly used in visualization techniques especially in medical volume simulation field. In this paper, we propose an adaptive super sampling method on deformed area. It is possible to visualize enhanced result image only as spending a little additional rendering time.

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Fast volumetric deformation on general purpose hardware

Cited by 55 publications

References 19 publications

Scan-Based Volume Animation Driven by Locally Adaptive Articulated Registrations

Scan-Based Volume Animation Driven by Locally Adaptive Articulated Registrations

SeiVis: An Interactive Visual Subsurface Modeling Application

Anti-aliasing on deformed area using adaptive super sampling during volume ray-casting

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