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On detection of multiple object instances using hough transforms
2010
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
To detect multiple objects of interest, the methods based on Hough transform use non-maxima supression or mode seeking in order to locate and to distinguish peaks in Hough images. Such postprocessing requires tuning of extra parameters and is often fragile, especially when objects of interest tend to be closely located. In the paper, we develop a new probabilistic framework that is in many ways related to Hough transform, sharing its simplicity and wide applicability. At the same time, the
doi:10.1109/cvpr.2010.5539905
dblp:conf/cvpr/BarinovaLK10
fatcat:krsqmeuaanfpzmlp7unmptqm34