Comprehensible rendering of 3-D shapes
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Interactive technical illustration
I3D '99 Proceedings of the 1999 symposium on Interactive 3D graphics
The edge buffer: a data structure for easy silhouette rendering
NPAR '00 Proceedings of the 1st international symposium on Non-photorealistic animation and rendering
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Suggestive contours for conveying shape
ACM SIGGRAPH 2003 Papers
Ridge-valley lines on meshes via implicit surface fitting
ACM SIGGRAPH 2004 Papers
Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging
ACM SIGGRAPH 2004 Papers
Multi-scale line drawings from 3D meshes
I3D '06 Proceedings of the 2006 symposium on Interactive 3D graphics and games
ACM SIGGRAPH 2006 Papers
SIGGRAPH '05 ACM SIGGRAPH 2005 Courses
Proceedings of the 5th international symposium on Non-photorealistic animation and rendering
Highlight lines for conveying shape
Proceedings of the 5th international symposium on Non-photorealistic animation and rendering
Line drawings via abstracted shading
ACM SIGGRAPH 2007 papers
Apparent ridges for line drawing
ACM SIGGRAPH 2007 papers
An Effective Illustrative Visualization Framework Based on Photic Extremum Lines (PELs)
IEEE Transactions on Visualization and Computer Graphics
ACM SIGGRAPH 2008 papers
Apparent relief: a shape descriptor for stylized shading
NPAR '08 Proceedings of the 6th international symposium on Non-photorealistic animation and rendering
Demarcating curves for shape illustration
ACM SIGGRAPH Asia 2008 papers
Data-driven curvature for real-time line drawing of dynamic scenes
ACM Transactions on Graphics (TOG)
Laplacian lines for real-time shape illustration
Proceedings of the 2009 symposium on Interactive 3D graphics and games
Light warping for enhanced surface depiction
ACM SIGGRAPH 2009 papers
Real-time computation of photic extremum lines (PELs)
The Visual Computer: International Journal of Computer Graphics
Real-Time Shape Illustration Using Laplacian Lines
IEEE Transactions on Visualization and Computer Graphics
Splatting lines: an efficient method for illustrating 3D surfaces and volumes
Proceedings of the 18th meeting of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
A comparison of methods for sketch-based 3D shape retrieval
Computer Vision and Image Understanding
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Line drawings are widely used for sketches, animations, and technical illustrations because they are effective and easy to draw. The existing computer-generated lines, such as suggestive contours, apparent ridges, and demarcating curves, adopt the two-pass framework: in the first pass, certain geometric features or properties are extracted or computed in the object space; then in the second pass, the line drawings are rendered by iterating each polygonal face or edge. It is known these approaches are very sensitive to the mesh quality, and usually require appropriate preprocessing operations (e.g. smoothing, remeshing, etc.) to the input meshes. This paper presents a simple yet robust approach to generate view-dependent line drawings for 3D models. Inspired by the image edge detector, we compute the difference-of-Gaussian of illumination on the 3D model. With moderate assumption, we show all the expensive computations can be done in the pre-computing stage. Our method naturally integrates object- and image-spaces in that we compute the geometric features in the object space and then adopt a simple fragment shader to render the lines in the image space. As a result, our algorithm is more efficient than the existing object-space approaches, since the lines are generated in a single pass without iterating the mesh edges/faces. Furthermore, our method is more flexible and robust than the existing algorithms in that it does not require the preprocessing on the input 3D models. Finally, the difference-of-Gaussian operator can be extended to the anisotropic setting guided by local geometric features. The promising experimental results on a wide range of real-world models demonstrate the effectiveness and robustness of our method.