用草图检索三维模型的论文

We develop a system for 3D object retrieval based on sketched fea- ture lines as input. For objective evaluation, we collect a large number of query sketches from human users that are related to an existing data base of objects. The sketches turn out to be gener- ally quite abstract with large local and global deviations from the original shape. Based on this observation, we decide to use a bag- of-features approach over computer generated line drawings of the objects. We develop a targeted feature transform based on Gabor fil- ters for this system. We can show objectively that this transform is better suited than other approaches from the literature developed for similar tasks. Moreover, we demonstrate how to optimize the pa- rameters of our, as well as other approaches, based on the gathered sketches. In the resulting comparison, our approach is significantly better than any other system described so far.