@inproceedings{16ed6b125a904f0791668c1047a251a3,
title = "Finding objects by grouping primitives",
abstract = "Digital library applications require very general object recognition techniques. We describe an object recognition strategy that operates by grouping together image primitives in increasingly distinctive collections. Once a suciently large group has been found, we declare that an object is present. We demonstrate this method on applications such as nding unclothed people in general images and nding horses in general images. Finding clothed people is dicult, because the variation in colour and texture on the surface of clothing means that it is hard to nd regions of clothing in the image. We show that our strategy can be used to nd clothing by marking the distinctive shading patterns associated with folds in clothing, and then grouping these patterns.",
author = "David Forsyth and John Haddon and Sergey Ioffe",
year = "1999",
month = jan,
day = "1",
language = "English (US)",
isbn = "3540667229",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "302--318",
editor = "Mundy, {Joseph L.} and Roberto Cipolla and Forsyth, {David A.} and {di Gesu}, Vito",
booktitle = "Shape, Contour and Grouping in Computer Vision",
note = "International Workshop on Shape, Contour and Grouping in Computer Vision ; Conference date: 26-05-1998 Through 29-05-1998",
}