A Modiied Hausdorr Distance for Object Matching
By Marie-Pierre Dubuisson, Anil K. Jain. 1994
Subfields: Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Massimo Minervini
- Sotirios A. Tsaftaris
- Hanno Scharr
- Christian Klukas
- Jean-Michel Pape
- Andreas Fischbach
- Xi Yin
- Patrick J. Flynn
Citations in the corpus
- Finely-grained annotated datasets for image-based plant phenotyping (2016, background): “We also suggest the Modified Hausdor ff Distance (MHD) (Dubuisson and Jain, 1994): , where (cid:107) · (cid:107) denotes Euclidean distance.”
- Data clustering: a review (1999, methodology): “Recently, several researchers [Huttenlocher et al. 1993; Dubuisson and Jain 1994] have used the Hausdorff distance in a point set matching context.”
- segmentation in plant phenotyping: a collation study. Machine Vision and Applications (2017, methodology): “We adopt two metrics, based respectively on the Mod-ified Hausdorff Distance (MHD) [19] and Pratt’s Figure of Merit (FoM) [45], to compare point sets A and B de-noting leaf object boundaries.”
- Data Clustering (2008, unknown): “Recently, several researchers [90; 48] have used the Hausdor distance in a point set matching context.”