An effective illustrative visualization framework based on photic extremum lines (PELs).

Authors: Xie, X., He, Y., Tian, F., Seah, H.-S., Gu, X. and Qin, H.

Journal: IEEE Trans Vis Comput Graph

Volume: 13

Issue: 6

Pages: 1328-1335

ISSN: 1077-2626

DOI: 10.1109/TVCG.2007.70538

Abstract:

Conveying shape using feature lines is an important visualization tool in visual computing. The existing feature lines (e.g., ridges, valleys, silhouettes, suggestive contours, etc.) are solely determined by local geometry properties (e.g., normals and curvatures) as well as the view position. This paper is strongly inspired by the observation in human vision and perception that a sudden change in the luminance plays a critical role to faithfully represent and recover the 3D information. In particular, we adopt the edge detection techniques in image processing for 3D shape visualization and present Photic Extremum Lines (PELs) which emphasize significant variations of illumination over 3D surfaces. Comparing with the existing feature lines, PELs are more flexible and offer users more freedom to achieve desirable visualization effects. In addition, the user can easily control the shape visualization by changing the light position, the number of light sources, and choosing various light models. We compare PELs with the existing approaches and demonstrate that PEL is a flexible and effective tool to illustrate 3D surface and volume for visual computing.

Source: PubMed

An Effective Illustrative Visualization Framework based on Photic Extremum Lines

Authors: Xie, X.X., He, Y., Tian, F., Gu, X.F., Seah, H.S. and Qin, H.

Journal: IEEE Transactions on Visualization and Computer Graphics

Volume: 13

Pages: 1328-1335

ISSN: 1077-2626

DOI: 10.1109/TVCG.2007.70538

Abstract:

Conveying shape using feature lines is an important visualization tool in visual computing. The existing feature lines (e.g., ridges, valleys, silhouettes, suggestive contours, etc.) are solely determined by local geometry properties (e.g., normals and curvatures) as well as the view position. This paper is strongly inspired by the observation in human vision and perception that a sudden change in the luminance plays a critical role to faithfully represent and recover the 3D information. In particular, we adopt the edge detection techniques in image processing for 3D shape visualization and present photic extremum lines (PELs) which emphasize significant variations of illumination over 3D surfaces. Comparing with the existing feature lines, PELs are more flexible and offer users more freedom to achieve desirable visualization effects. In addition, the user can easily control the shape visualization by changing the light position, the number of light sources, and choosing various light models. We compare PELs with the existing approaches and demonstrate that PEL is a flexible and effective tool to illustrate 3D surface and volume for visual computing

Source: Manual

Preferred by: Feng Tian

An Effective Illustrative Visualization Framework Based on Photic Extremum Lines (PELs).

Authors: Xie, X., He, Y., Tian, F., Seah, H.S., Gu, X. and Qin, H.

Journal: IEEE Trans. Vis. Comput. Graph.

Volume: 13

Pages: 1328-1335

DOI: 10.1109/TVCG.2007.70538

Source: DBLP

An effective illustrative visualization framework based on photic extremum lines (PELs).

Authors: Xie, X., He, Y., Tian, F., Seah, H.-S., Gu, X. and Qin, H.

Journal: IEEE transactions on visualization and computer graphics

Volume: 13

Issue: 6

Pages: 1328-1335

eISSN: 1941-0506

ISSN: 1077-2626

DOI: 10.1109/tvcg.2007.70538

Abstract:

Conveying shape using feature lines is an important visualization tool in visual computing. The existing feature lines (e.g., ridges, valleys, silhouettes, suggestive contours, etc.) are solely determined by local geometry properties (e.g., normals and curvatures) as well as the view position. This paper is strongly inspired by the observation in human vision and perception that a sudden change in the luminance plays a critical role to faithfully represent and recover the 3D information. In particular, we adopt the edge detection techniques in image processing for 3D shape visualization and present Photic Extremum Lines (PELs) which emphasize significant variations of illumination over 3D surfaces. Comparing with the existing feature lines, PELs are more flexible and offer users more freedom to achieve desirable visualization effects. In addition, the user can easily control the shape visualization by changing the light position, the number of light sources, and choosing various light models. We compare PELs with the existing approaches and demonstrate that PEL is a flexible and effective tool to illustrate 3D surface and volume for visual computing.

Source: Europe PubMed Central