Machine interpretation of line drawings
Machine interpretation of line drawings
Implementing discrete mathematics: combinatorics and graph theory with Mathematica
Implementing discrete mathematics: combinatorics and graph theory with Mathematica
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International Journal of Computer Vision
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Identifying Faces in a 2D Line Drawing Representing a Manifold Object
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interpreting a 3D object from a rough 2D line drawing
VIS '90 Proceedings of the 1st conference on Visualization '90
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Pattern Recognition Letters
CrossSketch: freeform surface modeling with details
SBIM '07 Proceedings of the 4th Eurographics workshop on Sketch-based interfaces and modeling
Line Drawing Interpretation
Technical Section: Sketch-based modeling: A survey
Computers and Graphics
Technical Section: An optimisation-based reconstruction engine for 3D modelling by sketching
Computers and Graphics
A survey on geometrical reconstruction as a core technology to sketch-based modeling
Computers and Graphics
A new algorithm for finding faces in wireframes
Computer-Aided Design
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D reconstruction of complex geometric solids from 2D line drawings
SIGGRAPH Asia 2013 Posters
3D reconstruction from drawings with straight and curved edges
SIGGRAPH Asia 2013 Technical Briefs
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This paper uses a hybrid method to reconstruct 3D polyhedral objects from 2D line drawings by combining two known methods, the cubic corner method and the optimisation-based method, and presents comprehensive test results comparing the three methods. The cubic corner method is deterministic and very efficient. It recovers accurate 3D objects from accurate drawings but for inaccurate drawings, the quality of its results varies with the accuracy of the input. In general, the optimisation-based method produces approximate 3D objects that conform to human perception of the drawings. But it is computationally demanding, and can sometimes converge to incorrect results, partly due to poor initial values for the optimisation. The hybrid method starts with the cubic corner method, and uses its output as the initial guess for the optimisation process, which then produces a better quality 3D object than either method on its own. Tests are conducted for each method using drawings of varying degrees of accuracy. The results of the cubic corner method and the hybrid method are consistent, with accurate inputs producing good results and inaccurate input producing poor results. The results of the optimisation-based method are inconsistent. The hybrid method produces the best results in general, but it is less efficient than the cubic corner method and more efficient than the optimisation-based method.