A modified Hausdorff distance for object matching

By Marie-Pierre Dubuisson, Anil K. Jain. 1994

Subfields: Computer Vision and Pattern Recognition, Algorithms & Complexity

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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.”
A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, methodology): “Point cloud based methods may also use similarity metrics such as point density and Hausdorff distance [161], [183].”
Driving Feature Extraction and Behavior Classification Using an Autoencoder to Reproduce the Velocity Styles of Experts (2018, unknown): “We computed the modified Hausdorff distance (MHD) [29] of each path (for both the original and new neighborhood) as seen in Table II and can see the trajectory path distances are indeed similar.”
Blocking Moving Window algorithm: Conditioning multiple‐point simulations to hydrogeological data (2010, methodology): “To speed up the search, they consider a modified similarity Hausdorff distance [Dubuisson and Jain, 1994] between the initial simulations.”
Automatic Sign Language Analysis: A Survey and the Future beyond Lexical Meaning (2005, methodology): “Hausdorff distance measure [40] between the prestored 878 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL.”
Learning computationally efficient approximations of complex image segmentation metrics (2013, methodology): “V offers concluding remarks.”
Robust Face Detection Using the Hausdorff Distance (2001, methodology): “For image processing applications it has proven useful to apply a slightly different measure, the (directed) modified Hausdorff distance (MHD), which was introduced by Dubuisson et al. [1].”
Shape-based hand recognition (2006, methodology): “This metric has been used in binary image and shape comparison and computer vision for a long time [ 7 ].”
Example-guided physically based modal sound synthesis (2013, methodology): “Such averaging techniques have also been employed to improve the robustness and discrimination power of point-based object matching methods [Dubuisson and Jain 1994; Gope and Kehtarnavaz 2007].”
What Does It Mean to Span Cultural Boundaries? Variety and Atypicality in Cultural Consumption (2016, background): “Descriptive statistics of all variables can be found in Table A1 in the Appendix.19”
A Generalized Kernel Approach to Dissimilarity-based Classification (2002, methodology): “Dissimilarity-based Classification Two different dissimilarity measures are considered here: Euclidean on blurred images and modified-Hausdorff (Dubuisson and Jain, 1994) on digit contours.”
It's the way you check-in: identifying users in location-based social networks (2014, unknown): “[10] as”