Automating transfer function design for comprehensible volume rendering based on 3D field topology analysis

Fujishiro, Issei; Azuma, Taeko; Takeshima, Yuriko

doi:10.1109/visual.1999.809932

Cited by 81 publications

(39 citation statements)

References 11 publications

(17 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These transfer functions, however, require indepth knowledge of the data and need to be adjusted for each data set. The design of effective transfer functions is still an active research area [7], [9]. While transfer functions can be effective at bringing out the structure in the value distribution of a volume, they are limited by their dependence on voxel value as the sole transfer function domain.…”

Section: Introductionmentioning

confidence: 99%

Volume illustration: nonphotorealistic rendering of volume models

Rheingans

Ebert

2001

IEEE Trans. Visual. Comput. Graphics

124

View full text Add to dashboard Cite

AbstractÐAccurately and automatically conveying the structure of a volume model is a problem not fully solved by existing volume rendering approaches. Physics-based volume rendering approaches create images which may match the appearance of translucent materials in nature, but may not embody important structural details. Transfer function approaches allow flexible design of the volume appearance, but generally require substantial hand tuning for each new data set in order to be effective. We introduce the volume illustration approach, combining the familiarity of a physics-based illumination model with the ability to enhance important features using nonphotorealistic rendering techniques. Since features to be enhanced are defined on the basis of local volume characteristics rather than volume sample value, the application of volume illustration techniques requires less manual tuning than the design of a good transfer function. Volume illustration provides a flexible unified framework for enhancing structural perception of volume models through the amplification of features and the addition of illumination effects.

show abstract

Section: Introductionmentioning

confidence: 99%

Volume illustration: nonphotorealistic rendering of volume models

Rheingans

Ebert

2001

IEEE Trans. Visual. Comput. Graphics

124

View full text Add to dashboard Cite

show abstract

“…A Reeb graph describes the configuration of and relationship between critical points and provides a way to understand the intrinsic topological structure of a shape. Morse theory and the Reeb graph have been used in many applications such as shape matching [21], shape coding [22]- [24], surface compression [25], volume visualization [26], terrain analysis [27] and 3-D skeletonization [28], [29]. The last publication cited is particularly close to our work.…”

Section: Morse Theory and The Reeb Graphmentioning

confidence: 66%

A functional-based segmentation of human body scans in arbitrary postures

Werghi¹,

Xiao

Siebert

2006

IEEE Trans. Syst., Man, Cybern. B

View full text Add to dashboard Cite

Abstract-This paper presents a general framework that aims to address the task of segmenting three-dimensional (3-D) scan data representing the human form into subsets which correspond to functional human body parts. Such a task is challenging due to the articulated and deformable nature of the human body. A salient feature of this framework is that it is able to cope with various body postures and is in addition robust to noise, holes, irregular sampling and rigid transformations. Although whole human body scanners are now capable of routinely capturing the shape of the whole body in machine readable format, they have not yet realized their potential to provide automatic extraction of key body measurements. Automated production of anthropometric databases is a prerequisite to satisfying the needs of certain industrial sectors (e.g., the clothing industry). This implies that in order to extract specific measurements of interest, whole body 3-D scan data must be segmented by machine into subsets corresponding to functional human body parts. However, previously reported attempts at automating the segmentation process suffer from various limitations, such as being restricted to a standard specific posture and being vulnerable to scan data artifacts. Our human body segmentation algorithm advances the state of the art to overcome the above limitations and we present experimental results obtained using both real and synthetic data that confirm the validity, effectiveness, and robustness of our approach.Index Terms-Human body shape analysis, Reeb graph, scattered 3-D range data segmentation, 3-D surface topology, 3-D whole-body scanners.

show abstract

“…Fujishiro et al [5] used a hyper-Reeb graph for exploration of scalar fields. A Reeb graph encodes topology of a surface.…”

Section: Related Workmentioning

confidence: 99%

“…For each isovalue that corresponds to an isosurface topology change, a node exists in the hyper-Reeb graph containing a Reeb graph encoding the topology of that isosurface. Fujishiro et al [5] constructed a hyper-Reeb graph using "focusing with interval volumes," an iterative approach that finds a subset of all critical isovalues , which has been introduced by Fujishiro and Takeshima [6]. The hyper-Reeb graph can be used, for example, for automatic generation of transfer functions.…”

Section: Related Workmentioning

confidence: 99%

“…Thus, critical isovalues extracted by Weber et al [12] are also meaningful in a volume rendering context. We use the resulting list of critical isovalues to design transfer functions based on the work presented by Fujishiro et al [5,7]. We generate transfer functions that assign small opacity to all scalar values except those close to critical isovalues.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automating Transfer Function Design Based on Topology Analysis

Weber

Scheuermann

2004

Geometric Modeling for Scientific Visualization

View full text Add to dashboard Cite

Summary. Direct Volume Rendering (DVR) is commonly used to visualize scalar fields. Quality and significance of rendered images depend on the choice of appropriate transfer functions that assigns optical properties (e.g., color and opacity) to scalar values. We present a method that automatically generates a transfer function based on the topological behavior of a scalar field. Given a scalar field defined by piecewise trilinear interpolation over a rectilinear grid, we find a set of critical isovalues for which the topology of an isosurface, i.e., a surface representing all locations where the scalar field assumes a certain value v, changes. We then generate a transfer function that emphasizes on scalar values around those critical isovalues. Images rendered using the resulting transfer function reveal the fundamental topological structure of a scalar data set.

show abstract

Automating transfer function design for comprehensible volume rendering based on 3D field topology analysis

Cited by 81 publications

References 11 publications

Volume illustration: nonphotorealistic rendering of volume models

Volume illustration: nonphotorealistic rendering of volume models

A functional-based segmentation of human body scans in arbitrary postures

Automating Transfer Function Design Based on Topology Analysis

Contact Info

Product

Resources

About