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Yuezhu Huang

dblp:66/7419 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Rendering · 100%
Artificial intelligence
1 paper
3D vision · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Rendering › non-photorealistic rendering
line drawing
0.112009
Expressive line drawings of human faces from range images · Sci. China Ser. F Inf. Sci. 2009
Computer vision › 3D vision
range image processing
0.012009
Expressive line drawings of human faces from range images · Sci. China Ser. F Inf. Sci. 2009
YearPublicationVenuePosition
2013 Portrait drawing from corresponding range and intensity images
abstract
We propose a real-time rendering system for automatically creating a caricature drawing, i.e., an exaggerated portrait, of a human face, based on simultaneous use of a range image (or 3D mesh) and a registered photograph of the same face. Combining these information sources provides complementary information. Significant geometric lines such as occluding contours and suggestive contours are extracted from the range data, while textured areas corresponding to shading features are extracted from the photograph. These are combined, and then distorted to produce the final caricature. The final output may be produced using a choice of non-photorealistic rendering styles. Our system method works well for low resolution range images; for these it is fast enough to allow the viewpoint to be chosen in real time. The final output combines significant lines, textured areas, and optional shading, giving a pleasing result which preserves not only the shape cues of the geometric description, but also other essential visual characteristics of the facial image that cannot be deduced from geometry alone.
Lu Wang 0007, Li-ming Lou, Chenglei Yang, Yuezhu Huang, Xiangxu Meng
J. Zhejiang Univ. Sci. C4
2009 Expressive line drawings of human faces from range images
Yuezhu Huang, Ralph R. Martin, Paul L. Rosin, Xiangxu Meng, Chenglei Yang
Sci. China Ser. F Inf. Sci.1
2007 A Visual Lens Toolkit for Mobile Devices
abstract
Current smart mobile devices such as Pocket PCs have become common accepted daily-life personal assistants. Such mobile devices provide much less support for visualization compared to desktop computers. When developing mobile visualization applications, one should take the limited screen size, currently available interaction tools and relatively poor computation power into consideration. We describe a visual lens toolkit integrated with Focus+Context technique and it can be incorporated into various applications on Pocket PCs. Our technique creates a distorted display view of target object in a high resolution focus area that is smoothly embedded into the distorted context. We have tested the toolkit in two applications as stylistic lens and sketch lens separately and received fine experiment results. In remote line drawing of 3D model system, the lens toolkit embedded into the client side mainly serve as stylistic lens which provide the users with different presentation styles of the model according to the current viewpoint and focus. In mobile sketch system, the lens toolkit performs like a refinement filter which adoptively turns the loose sketch or SVG file into finer image. Both tested applications.
Yuezhu Huang, Xiangxu Meng, Chenglei Yang, Shijun Liu
APSCC1