Wu's method and its application to perspective viewing
Artificial Intelligence - Special issue on geometric reasoning
Algebraic solution for geometry from dimensional constraints
SMA '91 Proceedings of the first ACM symposium on Solid modeling foundations and CAD/CAM applications
A graph-constructive approach to solving systems of geometric constraints
ACM Transactions on Graphics (TOG)
Decomposition plans for geometric constraint systems, part I: performance measures for CAD
Journal of Symbolic Computation
Decomposition plans for geometric constraint problems, part II: new algorithms
Journal of Symbolic Computation
Solving Geometric Constraints By Homotopy
IEEE Transactions on Visualization and Computer Graphics
A hybrid approach to geometric constraint solving with graph analysis and reduction
Advances in Engineering Software
Numerical decomposition of geometric constraints
Proceedings of the 2005 ACM symposium on Solid and physical modeling
Algorithms for identifying rigid subsystems in geometric constraint systems
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Geometric constraint solving: The witness configuration method
Computer-Aided Design
A 2D geometric constraint solver using a graph reduction method
Advances in Engineering Software
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General constructive geometric constraint solvers are pre-processed by a degree-of-freedom analysis, which enables efficient graph decomposition and recombination. However, all these methods are based on the assumption that structural rigidity automatically assures solvability. In this paper, we show that this assumption fails in numerous, even the most basic, configurations. We introduce several simple but efficient rules aimed to additionally analyse solvability in such cases. Another novelty addresses conditional constraints between three or more geometric parts, rules for their simplification and a redundancy check. All these functionalities are built into our original 2D geometric constraint solver, based on concepts of rigid clusters and constrained-angle (CA) sets.