Geometric Object 3D Reconstruction from Single Line Drawing Image with Bottom-Up and Top-Down Classification and Sketch Generation

Abstract

Since geometric objects are usually illustrated as 2D line drawings with the loss of depth information, it is difficult for people to fully understand the geometric structure of them. Most of the existing 3D reconstruction methods require the input to be perfect sketch of the line drawing, therefore they are not suitable when only line drawing image is offered. To address this problem, we propose a robust reconstruction method that can directly conduct reconstruction from the input single line drawing image. Our main contribution is that we introduce a bottom-up and top-down scheme to the task of geometric object 3D reconstruction. First, for the sub-task of geometric object classification, we perform a bottom-up process of geometric features extraction together with a top-down process of additional feature searching to classify the geometric object. Second, for the sub-task of sketch completion, we complete the sketch extracted from the geometric object's contour based on the class of the geometric object, in a top-down manner. Extensive experimental results demonstrate that our approach can improve in both accuracy and efficiency compared with the existing methods.