کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
531182 | 869817 | 2010 | 10 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Shape detection from line drawings with local neighborhood structure Shape detection from line drawings with local neighborhood structure](/preview/png/531182.png)
An object detection method from line drawings is presented. The method adopts the local neighborhood structure as the elementary descriptor, which is formed by grouping several nearest neighbor lines/curves around one reference. With this representation, both the appearance and the geometric structure of the line drawing are well described. The detection algorithm is a hypothesis-test scheme. The top k most similar local structures in the drawing are firstly obtained for each local structure of the model, and the transformation parameters are estimated for each of the k candidates, such as object center, scale and rotation factors. By treating each estimation result as a point in the parameter space, a dense region around the ground truth is then formed provided that there exist a model in the drawing. The mean shift method is used to detect the dense regions, and the significant modes are accepted as the occurrence of object instances.
Journal: Pattern Recognition - Volume 43, Issue 5, May 2010, Pages 1907–1916