High Quality Hatching

Zander, Johannes; Isenberg, Tobias; Schlechtweg, Stefan; Strothotte, Thomas

doi:10.1111/j.1467-8659.2004.00773.x

Cited by 57 publications

(37 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The visual appearance could also be improved by exploring alpha-blending, for instance guided by the filtering process. By employing line style rendering techniques such as used in [42] it may even be possible to maintain the black-and-white character necessary for high-quality print output.…”

Section: Resultsmentioning

confidence: 99%

“…Similar contour enhancing techniques have also been investigated for flow data [36] or medical volume data [6,10]. Related to illustrative visualization is non-photorealistic rendering (NPR), where lines have been used as a means to illustrate surfaces (e. g., [15,42]) but are usually placed onto surfaces during rendering rather than being the original carrier of the depicted data or shape. Such techniques have been applied, for example, to medical volume visualization [9,26,38] as well as rendering of fiber and vessel structures [20,31].…”

Section: Illustrative Visualization and Rendering Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

Depth-Dependent Halos: Illustrative Rendering of Dense Line Data

Everts

Bekker

Roerdink

et al. 2009

IEEE Trans. Visual. Comput. Graphics

109

View full text Add to dashboard Cite

Abstract-We present a technique for the illustrative rendering of 3D line data at interactive frame rates. We create depth-dependent halos around lines to emphasize tight line bundles while less structured lines are de-emphasized. Moreover, the depth-dependent halos combined with depth cueing via line width attenuation increase depth perception, extending techniques from sparse line rendering to the illustrative visualization of dense line data. We demonstrate how the technique can be used, in particular, for illustrating DTI fiber tracts but also show examples from gas and fluid flow simulations and mathematics as well as describe how the technique extends to point data. We report on an informal evaluation of the illustrative DTI fiber tract visualizations with domain experts in neurosurgery and tractography who commented positively about the results and suggested a number of directions for future work.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Illustrative Visualization and Rendering Techniquesmentioning

confidence: 99%

Depth-Dependent Halos: Illustrative Rendering of Dense Line Data

Everts

Bekker

Roerdink

et al. 2009

IEEE Trans. Visual. Comput. Graphics

109

View full text Add to dashboard Cite

show abstract

“…In our work, we use this optimized direction field as a basis for learning the directions of example hatching strokes. Zander et al [9] propose to create object-space hatching strokes by tracing the curvature directions in object space. In our approach, we also use a object-space representation of the stroke trajectories.…”

Section: Related Workmentioning

confidence: 99%

Interactive example-based hatching

Gerl

Isenberg

2013

Computers & Graphics

Self Cite

View full text Add to dashboard Cite

a b s t r a c tWe present an approach for interactively generating pen-and-ink hatching renderings based on handdrawn examples. We aim to overcome the regular and synthetic appearance of the results of existing methods by incorporating human virtuosity and illustration skills in the computer generation of such imagery. To achieve this goal, we propose to integrate an automatic style transfer with user interactions. This approach leverages the potential of example-based hatching while giving users the control and creative freedom to enhance the aesthetic appearance of the results. Using a scanned-in hatching illustration as input, we use image processing and machine learning methods to learn a model of the drawing style in the example illustration. We then apply this model to semi-automatically synthesize hatching illustrations of 3D meshes in the learned drawing style. In the learning stage, we first establish an analytical description of the hand-drawn example illustration using image processing. A 3D scene registered with the example drawing allows us to infer object-space information related to the 2D drawing elements. We employ a hierarchical style transfer model that captures drawing characteristics on four levels of abstraction, which are global, patch, stroke, and pixel levels. In the synthesis stage, an explicit representation of hatching strokes and hatching patches enables us to synthesize the learned hierarchical drawing characteristics. Our representation makes it possible to directly and intuitively interact with the hatching illustration. Amongst other interactions, users of our system can brush with patches of hatching strokes onto a 3D mesh. This interaction capability allows illustrators who are working with our system to make use of their artistic skills. Furthermore, the proposed interactions allow people without a background in hatching to interactively generate visually appealing hatching illustrations.

show abstract

“…Webb et al, [10] extended this technique to achieve hatching effects giving finer control of tone. Zander et al, [13] introduced another hatching scheme for 3D triangular meshes, in which smooth and evenly distributed streamlines are derived from the mesh in the principal directions. The results of the hatching process are stored as vectors and are therefore independent of resolution.…”

Section: Pencil Drawing On 3d Modelsmentioning

confidence: 99%