Using Quantitative Information to Improve Analogical Matching Between Sketches
نویسندگان
چکیده
Qualitative representations are suitable for sketch understanding systems because they highlight important relationships while leaving out details that are not essential for conceptual understanding. These representations can be used to perform spatial analogies between sketches, which determine qualitative similarities and differences. However, there are cases where including quantitative information is necessary for accurately representing a sketch. We describe a method for using quantitative information to constrain qualitative spatial analogies. The utility of this method is demonstrated in the context of a sketch-based educational software system. Importantly, using quantitative information to improve analogical matches is not domainspecific. It can be used in any situation where qualitative and quantitative spatial information must be combined to accurately interpret a sketch. This approach has the potential to improve sketch understanding in educational software applications for highly spatial domains.
منابع مشابه
Analogical Learning of Visual/Conceptual Relationships in Sketches
This paper explores the use of analogy to learn about properties of sketches. Sketches often convey conceptual relationships between entities via the visual relationships between their depictions in the sketch. Understanding these conventions is an important part of adapting to a user. This paper describes how learning by accumulating examples can be used to make suggestions about such relation...
متن کاملOn Matching Forensic Sketches to Mugshot Photos Under review TPAMI
The problem of matching a forensic sketch to a gallery of mugshot images is addressed in this paper. Previous research in sketch matching offered solutions to matching highly accurate sketches that were drawn while looking at the subject. We refer to these as viewed sketches. Forensic sketches differ from viewed sketches in that they are drawn by a police sketch artist using the description pro...
متن کاملClustering Hand-Drawn Sketches via Analogical Generalization
One of the major challenges to building intelligent educational software is determining what kinds of feedback to give learners. Useful feedback makes use of models of domain-specific knowledge, especially models that are commonly held by potential students. To empirically determine what these models are, student data can be clustered to reveal common misconceptions or common problem-solving st...
متن کاملRetrieval of hand-drawn sketches with partial matching
Sketching is a natural way of input that provides an effective means of illustration. A sketch consists of multiple strokes that can be captured by pen-based devices to be stored in a database for future retrieval. In our prior work, we proposed a sketch retrieval method that is suitable for whole matching. However, the problem gets complicated if the retrieval is performed for partially matche...
متن کاملEUCLBP Matching Algorithm for Forensic Applications
Forensic Sketch to digital face matching is an important research challenge and is very pertinent to law enforcement agencies. Forensic sketches are drawn based on the recollection of an eyewitness person and the expertise of a sketch artist. To extract discriminating information from local regions of both sketches and digital face images using the automated algorithm. The proposed system prese...
متن کامل