2017/05/07 by Christopher H. Dorr, Dorr, Christopher H., Reinhard Moratz +1
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Rough Sets and Fuzzy Logic #cs.CV
paper · pdf · doi:10.48550/arxiv.1705.02653
arxiv created 2017/05/07 · openalex publication_date 2017/05/07 · arxiv updated 2017/05/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The motivation for using qualitative shape descriptions is as follows: qualitative shape descriptions can implicitly act as a schema for measuring the similarity of shapes, which has the potential to be cognitively adequate. Then, shapes which are similar to each other would also be similar for a pattern recognition algorithm. There is substantial work in pattern recognition and computer vision dealing with shape similarity. Here with our approach to qualitative shape descriptions and shape similarity, the focus is on achieving a representation using only simple predicates that a human could even apply without computer support.