Emulating the human interpretation of line-drawings as three-dimensional objects
International Journal of Computer Vision
An optimization-based approach to the interpretation of single line drawings as 3D wire frames
International Journal of Computer Vision
Identification of Faces in a 2D Line Drawing Projection of a Wireframe 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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The goal of sketch reconstruction is to take an inaccurate, 2D edge-vertex graph (i.e., sketch drawing) as input and reconstruct a 3D shape as output. However, traditional reconstruction methods based on image regularities tend to produce a distorted 3D shape. In part, this distortion is due to the inherent inaccuracies in the sketch, but it also relates to the failure to accurately distinguish between important and less important regularities. We propose a new self-correctional reconstruction algorithm that can progressively produce refined versions of sketch reconstructions. The algorithm corrects the shape and the drawing simultaneously using geometric error metrics. The proposed algorithm can minimize the distortion of the shape by adding 3D regularities to the image regularities. The self-correctional algorithm for minimizing the distortion of sketch reconstruction is discussed, and the experimental results show that the proposed method efficiently reconstructs more accurate 3D objects than previous ones.