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Jing Wang 0008

dblp:02/736-8 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2007
0000-0002-6174-7146ORCID · corroborated

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

Artificial intelligence and machine learning · 4 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 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
3 papers
Rendering · 51% Geometric modeling and processing · 29% Computational photography and imaging · 20%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Rendering › bidirectional reflectance distribution function
spatially-varying BRDF
0.122006
Relief Texture from Specularities · IEEE Trans. Pattern Anal. Mach. Intell. 2006
A Novel Approach For Texture Shape Recovery · ICCV 2003
Rendering
reflectance modeling
0.012004
Hybrid Textons: Modeling Surfaces with Reflectance and Geometry · CVPR (1) 2004
Geometric modeling and processing › shape modeling
surface modeling
0.012004
Hybrid Textons: Modeling Surfaces with Reflectance and Geometry · CVPR (1) 2004
Geometric modeling and processing
3d reconstruction
0.012003
A Novel Approach For Texture Shape Recovery · ICCV 2003
Rendering › appearance modeling
bidirectional texture function
0.012003
A Novel Approach For Texture Shape Recovery · ICCV 2003

Methods — techniques the papers use, named apart from their topics

parabolic mirror imaging · 0.1laser scanning · 0.1textons · 0.0curved mirror · 0.0bidirectional texture measurement · 0.0
YearPublicationVenuePosition
2007 Surface detail in computer models
Kristin J. Dana, Gabriela Oana Cula, Jing Wang 0008
Image Vis. Comput.3
2006 Relief Texture from Specularities
abstract
In vision and graphics, advanced object models require not only 3D shape, but also surface detail. While several scanning devices exist to capture the global shape of an object, few methods concentrate on capturing the fine-scale detail. Fine-scale surface geometry (relief texture), such as surface markings, roughness, and imprints, is essential in highly realistic rendering and accurate prediction. We present a novel approach for measuring the relief texture of specular or partially specular surfaces using a specialized imaging device with a concave parabolic mirror to view multiple angles in a single image. Laser scanning typically fails for specular surfaces because of light scattering, but our method is explicitly designed for specular surfaces. Also, the spatial resolution of the measured geometry is significantly higher than standard methods, so very small surface details are captured. Furthermore, spatially varying reflectance is measured simultaneously, i.e., both texture color and texture shape are retrieved.
Jing Wang 0008, Kristin J. Dana
IEEE Trans. Pattern Anal. Mach. Intell.1
2004 Hybrid Textons: Modeling Surfaces with Reflectance and Geometry
Jing Wang 0008, Kristin J. Dana
CVPR (1)1
2003 A Novel Approach For Texture Shape Recovery
abstract
In vision and graphics, there is a sustained interest in capturing accurate 3D shape with various scanning devices. However, the resulting geometric representation is only part of the story. Surface texture of real objects is also an important component of the representation and fine-scale surface geometry such as surface markings, roughness, and imprints, are essential in highly realistic rendering and accurate prediction. We present a novel approach for measuring the fine-scale surface shape of specular surfaces using a curved mirror to view multiple angles in a single image. A distinguishing aspect of our method is that it is designed for specular surfaces, unlike many methods (e.g. laser scanning) which cannot handle highly specular objects. Also, the spatial resolution is very high so that it can resolve very small surface details that are beyond the resolution of standard devices. Furthermore, our approach incorporates the simultaneous use of a bidirectional texture measurement method, so that spatially varying bidirectional reflectance is measured at the same time as surface shape.
Jing Wang 0008, Kristin J. Dana
ICCV1