Domain‐specific visualization system based on automatic multiseed recommendations: Extracting stratigraphic structures

Liu, Richen; Ji, Genlin; Su, Mingjun

doi:10.1002/spe.2768

Cited by 6 publications

(7 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides, horizons visualization 44,45 and faults visualization 46‐48 techniques in the field of seismic analysis make it easier to interpret the noisy, dense and ambiguous seismic data. Liu et al 1,2 proposed some methods that focus on specific stratigraphic structure extraction and visualization. They use the transfer function to first edit the seismic data and create professional slices, and then allow experts to analyze the slices with a slice analysis system.…”

Section: Related Workmentioning

confidence: 99%

“…The single‐user single‐machine systems show some limitations for complex data analysis in visualization. First, it is inefficient when a team of experts want to illustrate the different parts of the data simultaneously or share their illustrations 1,2 . Second, all the tasks of computation, rendering, and interactions are assigned to one machine, which would cause some performance issues especially when the data are too large to handle in a commonly used computer 3 .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multiuser collaborative illustration and visualization for volumetric scientific data

et al. 2020

Self Cite

View full text Add to dashboard Cite

Multiuser can collaboratively complete complex visualization tasks that cannot be completed by a single user. Although multiuser collaboration system has made great progress, there are many challenges in the collaborative visualization of 3D volumetric scientific data due to the difficulties in multiuser collaboration, and collaborative slice analysis. This article proposes a client‐server based collaborative visualization system, which consists of a 3D volume explorer and a 2D slice analyzer, to help domain experts to fully utilize their background domain knowledge to illustrate different parts of the data. For example, the brain surgeon expert, pulmonologist, and cardiologist can visualize and analyze the different subsets of the volumetric scientific data, that is, the corresponding subvolumes of the brain, heart, lungs, and blood vessels. It also allows taking full advantage of the hardware resources, because all the computation intensive tasks especially for the whole data rendering can be allocated to the powerful server while the light‐weight tasks can be allocated to the portable clients. Besides, we design a seed point tracing algorithm based on flood fill algorithm to illustrate the slice more efficiently. We evaluate the system by collecting the feedback from domain experts and the people who are unfamiliar with data computation or visualization. The evaluation shows that the 3D volume explorer and the 2D slice analyzer are capable of supporting peer‐expert discussion and medical case teaching, respectively.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multiuser collaborative illustration and visualization for volumetric scientific data

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Traditional interaction designs can effectively interact between users and data, such as using the mouse and keyboard to explore data. For example, traditional devices are employed by the oil/gas exploration experts to interactively illustrate the seismic data [18], [19]. Liu et al [20] proposed an interactive stratigraphic data slice interpretation system to interpret and visualize the 2-D seismic slice.…”

Section: ) Common Interactions In Scientific Visualizationmentioning

confidence: 99%

Interactive Diffusion Tensor Imaging Fiber Data Visualization Via Leap Motion

Fang

Xiao

et al. 2020

IEEE Access

View full text Add to dashboard Cite

Diffusion Tensor Imaging (DTI) reveals subtle abnormalities associated with stroke, multiple sclerosis, schizophrenia and dyslexia, which has a broad application prospect in the medical field. The densely sampled 3-D DTI fiber tracts in biological specimens have high geometric, spatial and anatomical complexity. To provide users with more immersive and convenient interactions in exploring DTI fibers, we design specific interactions based on the APIs of Leap Motion. Leap Motion is a somatosensory interaction device focusing on hand tracking. We design four different interaction modes for users to analyze the data in different interaction stages and scenarios, in order to better explore the DTI fibers which users are interested in by Leap Motion gestures. They are Normal Mode, Box Basic Interaction Mode, Box Logic Operation Mode, and Cluster Exploration Mode. Users can conduct tradition manipulations over the whole DTI fiber data in Normal Mode. Boxes are employed to filter out uninteresting tracts in Box Basic Interaction Mode, and expression-based queries are further designed to get logic set operations based on multiple boxes in Box Logic Operation Mode, e.g., the intersection, union and complement of boxes. Complex logic combination queries are allowed to perform to reduce visual clutter and help users explore DTI fibers more precisely. In Cluster Exploration Mode, DTI fibers can be classified by clustering them into spatially and anatomically related tracts and then different clusters can be explored individually by designed gestures. Compared with the explorations through traditional input devices, the evaluation tests show that the proposed approach is more intuitive and efficient in 3-D explorations and provides an immersive experience for users to explore the DTI fiber data. INDEX TERMS Data visualization, data analysis, graphical user interfaces, human computer interaction.

show abstract

“…Domain-specific languages (DSLs), such as set operator expressions, provide a high degree of customizability to quadratic surface queries. Liu et al [1,2] provided methods to illustrate 3-D seismic data and obtain the visualization results that reveal the distribution and geostructures of UFP. In addition, they also designed lightweight compilers based on set data visualization [3,4] to parse DSLs.…”

Section: Introductionmentioning

confidence: 99%

“…Although there are many tools [1,2] to analyze stratigraphic data, the collaborating geologists say that there are still some challenges in existing graphical geological data visualization methods for interactive exploration. They are as follows.…”

Section: Introductionmentioning

confidence: 99%

Interactive Geological Data Visualization in an Immersive Environment

Chen

Wang

Zhu

et al. 2022

IJGI

Self Cite

View full text Add to dashboard Cite

Underground flow paths (UFP) often play an important role in the illustration of geological data by geologists, especially in illustrating geological data and revealing stratigraphic structures, which can help domain experts in their exploration of petroleum information. In this paper, we present a new immersive visualization tool to help domain experts better illustrate stratigraphic data. We use a visualization method based on bit-array-based 3-D texture to represent stratigraphic data. Our visualization tool has three major advantages: it allows for flexible interaction at the immersive device, it enables domain experts to obtain their desired UFP structure through the execution of quadratic surface queries, and supports different stratigraphic display modes, as well as switching and integration geological information flexibly. Feedback from domain experts has shown that our tool can contribute more for domain experts in the scientific exploration of stratigraphic data, compared to the existing UFP visualization tools in the field. Thus, experts in geology can have a more comprehensive understanding and more effective illustration of the structure and distribution of UFPs.

show abstract

Domain‐specific visualization system based on automatic multiseed recommendations: Extracting stratigraphic structures

Cited by 6 publications

References 33 publications

Multiuser collaborative illustration and visualization for volumetric scientific data

Multiuser collaborative illustration and visualization for volumetric scientific data

Interactive Diffusion Tensor Imaging Fiber Data Visualization Via Leap Motion

Interactive Geological Data Visualization in an Immersive Environment

Contact Info

Product

Resources

About