A texture-based hardware-independent technique for time-varying volume flow visualization

Liu, Zhanping; Moorhead, Robert J.

doi:10.1007/bf03181501

Cited by 4 publications

(1 citation statement)

References 27 publications

(34 reference statements)

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“…However, the quality of images produced by such techniques are poor compared to the ray casting approach [12]. It should be noted that in this paper, we focus on dynamic visualization of a static dataset as opposed to time-varying datasets [15]. In ray casting, (Fig.…”

Section: Volume Renderingmentioning

confidence: 99%

Lifting-Based View Compensated Compression of Volume Rendered Images for Efficient Remote Visualization

Lalgudi

Marcellin

Bilgin

et al. 2008

Data Compression Conference (Dcc 2008)

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Remote visualization of volumetric images has gained importance over the past few years in medical and industrial applications. Volume visualization is a computationally intensive process, often requiring hardware acceleration to achieve a real time viewing experience. One remote visualization model that can accomplish this would transmit rendered images (with dedicated hardware) from the server based on view-point requests from a client. For a given server-client bandwidth, an efficient compression scheme is vital for transmitting high quality rendered images. In this paper, we present a new compression scheme that utilizes the geometric relationship between view-points to exploit the correlation between successive rendered images. The proposed method performs better than AVC, the state of the art video compression standard. Additionally, our scheme obviates motion estimation between rendered images, enabling significant reduction to the complexity of the encoder.

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Section: Volume Renderingmentioning

confidence: 99%

Lifting-Based View Compensated Compression of Volume Rendered Images for Efficient Remote Visualization

Lalgudi

Marcellin

Bilgin

et al. 2008

Data Compression Conference (Dcc 2008)

View full text Add to dashboard Cite

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View Compensated Compression of Volume Rendered Images for Remote Visualization

Lalgudi

Marcellin

Bilgin

et al. 2009

IEEE Trans. on Image Process.

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Remote visualization of volumetric images has gained importance over the past few years in medical and industrial applications. Volume visualization is a computationally intensive process, often requiring hardware acceleration to achieve a real time viewing experience. One remote visualization model that can accomplish this would transmit rendered images from a server, based on viewpoint requests from a client. For constrained server-client bandwidth, an efficient compression scheme is vital for transmitting high quality rendered images. In this paper, we present a new view compensation scheme that utilizes the geometric relationship between viewpoints to exploit the correlation between successive rendered images. The proposed method obviates motion estimation between rendered images, enabling significant reduction to the complexity of a compressor. Additionally, the view compensation scheme, in conjunction with JPEG2000 performs better than AVC, the state of the art video compression standard.

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Reconstruction and Visualization of Coordinated 3D Cell Migration Based on Optical Flow

Kappe

Schütz

Günther

et al. 2016

IEEE Trans. Visual. Comput. Graphics

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Animal development is marked by the repeated reorganization of cells and cell populations, which ultimately determine form and shape of the growing organism. One of the central questions in developmental biology is to understand precisely how cells reorganize, as well as how and to what extent this reorganization is coordinated. While modern microscopes can record video data for every cell during animal development in 3D+t, analyzing these videos remains a major challenge: reconstruction of comprehensive cell tracks turned out to be very demanding especially with decreasing data quality and increasing cell densities. In this paper, we present an analysis pipeline for coordinated cellular motions in developing embryos based on the optical flow of a series of 3D images. We use numerical integration to reconstruct cellular long-term motions in the optical flow of the video, we take care of data validation, and we derive a LIC-based, dense flow visualization for the resulting pathlines. This approach allows us to handle low video quality such as noisy data or poorly separated cells, and it allows the biologists to get a comprehensive understanding of their data by capturing dynamic growth processes in stills. We validate our methods using three videos of growing fruit fly embryos.

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A texture-based hardware-independent technique for time-varying volume flow visualization

Cited by 4 publications

References 27 publications

Lifting-Based View Compensated Compression of Volume Rendered Images for Efficient Remote Visualization

Lifting-Based View Compensated Compression of Volume Rendered Images for Efficient Remote Visualization

View Compensated Compression of Volume Rendered Images for Remote Visualization

Reconstruction and Visualization of Coordinated 3D Cell Migration Based on Optical Flow

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