Interactive drawing interface with 3D animal model retrieval
Sicheng Li, Haoran Xie, Kazunori Miyata · International Workshop on Advanced Imaging Technology (IWAIT) 2022 · 2022
In this work, we propose an interactive drawing guidance interface with 3D animal model retrieval, which aims to help common users draw 2D animal sketches by exploring the desired animal models from the pre-collected dataset. We first construct an animal model dataset and generate line drawing images of 3D models from different viewpoints. Then, we develop the drawing interface, which illustrates the retrieval models through matching freehand sketch inputs with line drawing images. We utilize the state-of-the-art sketch-based image retrieval algorithm for sketch matching, which describes the appearance and relative positions of multiple objects by measuring compositional similarity. The proposed system can accurately retrieve similar partial images and provide the blended shadow guidance underlying the user’s strokes to guide the drawing process. We verified that the proposed interface could improve the drawing quality of users’ animal sketches from our user study.