A 3D sketching interacting tool for physical simulation based on web
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction platforms and techniques
Recovering Occlusion Boundaries from an Image
International Journal of Computer Vision
Automatic restoration of omitted 2D drawings by using pattern learning of repetitive features
ACMOS'06 Proceedings of the 8th WSEAS international conference on Automatic control, modeling & simulation
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The human vision system can interpret a single 2D line drawing as a 3D object without much difficulty even if the hidden lines of the object are invisible. Several reconstruction approaches have tried to emulate this ability, but they cannot recover the complete object if the hidden lines of the object are not shown. This paper proposes a novel approach for reconstructing complete 3D objects from line drawings without hidden lines. First, we develop some constraints and properties for the inference of the topology of the invisible edges and vertices of an object. Then we present a reconstruction method based on perceptual symmetry and planarity of the object. We give a number of examples to demonstrate the ability of our approach.