An a Contrario decision method for shape element recognition

作者：Muse Pablo^*; Sur Frederic; Cao Frederic; Gousseau Yann; Morel Jean Michel

来源：International Journal of Computer Vision, 2006, 69(3): 295-315.

DOI：10.1007/s11263-006-7546-0

• planar shape recognition
• background model
• number of false alarms
• meaningful matches
• level lines

Shape recognition is the field of computer vision which addresses the problem of finding out whether a query shape lies or not in a shape database, up to a certain invariance. Most shape recognition methods simply sort shapes from the database along some (dis-)similarity measure to the query shape. Their main weakness is the decision stage, which should aim at giving a clear-cut answer to the question: "do these two shapes look alike?" In this article, the proposed solution consists in bounding the number of false correspondences of the query shape among the database shapes, ensuring that the obtained matches are not likely to occur "by chance". As an application, one can decide with a parameterless method whether any two digital images share some shapes or not.

• 出版日期2006-9