An algebraic approach to shape-from-image problems
Artificial Intelligence
SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
Machine interpretation of line drawings
Machine interpretation of line drawings
Emulating the human interpretation of line-drawings as three-dimensional objects
International Journal of Computer Vision
Multilinear cayley factorization
Journal of Symbolic Computation
Invariant-theoretic methods in scene analysis and structural mechanics
Journal of Symbolic Computation
An optimization-based approach to the interpretation of single line drawings as 3D wire frames
International Journal of Computer Vision
Algorithms in invariant theory
Algorithms in invariant theory
Identification of Faces in a 2D Line Drawing Projection of a Wireframe Object
IEEE Transactions on Pattern Analysis and Machine Intelligence
Coordinate-free projective geometry for computer vision
Geometric computing with Clifford algebras
A Graph-Based Method for Face Identification from a Single 2D Line Drawing
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Vectorial Equations Solving for Mechanical Geometry Theorem Proving
Journal of Automated Reasoning
Overcoming Superstrictness in Line Drawing Interpretation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Identifying Faces in a 2D Line Drawing Representing a Manifold Object
IEEE Transactions on Pattern Analysis and Machine Intelligence
Creating volume models from edge-vertex graphs
SIGGRAPH '82 Proceedings of the 9th annual conference on Computer graphics and interactive techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In this paper, we study the problem of reconstructing the polyhedral structures and geometric positions of a general nD polyhedral scene from a single 2D line drawing. With the idea of local construction and propagation, we propose several powerful techniques for structural reconstruction (i.e. face identification) and geometric reconstruction (i.e. realizability and parametrization). Our structural reconstruction algorithm can handle 3D solids of over 10,000 faces efficiently, outperforming any other existing method. Our geometric reconstruction algorithm can lead to amazing simplification in symbolic manipulation of the geometric data, and can be used to find linear construction sequences for non-spherical polyhedra.