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Deep point-to-subspace metric learning for sketch-based 3D shape retrieval
2019
Pattern Recognition
One key issue in managing a large scale 3D shape dataset is to identify an effective way to retrieve a shape-of-interest. The sketch-based query, which enjoys the flexibility in representing the user's intention, has received growing interests in recent years due to the popularization of the touchscreen technology. Essentially, the sketch depicts an abstraction of a shape in a certain view while the shape contains the full 3D information. Matching between them is a cross-modality retrieval
doi:10.1016/j.patcog.2019.106981
fatcat:kp4rqfodmbbtxcomm3rykhii6y