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Robust affine iterative closest point algorithm based on correntropy for 2D point set registration

https://doi.org/10.1109/ijcnn.2016.7727364
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.media.2015.10.001openalex-snapshot
Building dynamic population graph for accurate correspondence detection
inferredcites →https://doi.org/10.1016/j.neucom.2015.01.019openalex-snapshot
Probability iterative closest point algorithm for m-D point set registration with noise
inferredcites →https://doi.org/10.1016/j.patrec.2010.01.020openalex-snapshot
Affine iterative closest point algorithm for point set registration
inferredcites →https://doi.org/10.1109/34.121791openalex-snapshot
A method for registration of 3-D shapes
inferredcites →https://doi.org/10.1109/3dim.2007.39openalex-snapshot
Outlier Robust ICP for Minimizing Fractional RMSD
inferredcites →https://doi.org/10.1109/cvpr.2000.855850openalex-snapshot
Shape descriptors for non-rigid shapes with a single closed contour
inferredcites →https://doi.org/10.1109/im.2003.1240280openalex-snapshot
Approximate K-D tree search for efficient ICP
inferredcites →https://doi.org/10.1109/lsp.2014.2319308openalex-snapshot
Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion
inferredcites →https://doi.org/10.1109/lsp.2015.2428713openalex-snapshot
Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion
inferredcites →https://doi.org/10.1109/robot.2002.1013610openalex-snapshot
Accurate registration of structured data using two overlapping range images
inferredcites →https://doi.org/10.1109/tpami.2010.46openalex-snapshot
Point Set Registration: Coherent Point Drift
inferredcites →https://doi.org/10.1109/tpami.2014.2324585openalex-snapshot
Information Theoretic Shape Matching
inferredcites →https://doi.org/10.1145/235815.235821openalex-snapshot
The quickhull algorithm for convex hulls
inferredcites →https://doi.org/10.3390/e17107149openalex-snapshot
Robust Hammerstein Adaptive Filtering under Maximum Correntropy Criterion

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4495106openalex-extracted
A Robust Point Registration Algorithm Based on Bidirectional Adaptive Kmpe Loss
inferred← citeshttps://doi.org/10.1007/s40747-021-00599-0openalex-snapshot
Robust affine registration method using line/surface normals and correntropy criterion
inferred← citeshttps://doi.org/10.1109/ccssta62096.2024.10691778openalex-snapshot
Point Set Registration Based on Adaptive Maximum Correntropy
inferred← citeshttps://doi.org/10.1109/tcyb.2019.2944171openalex-snapshot
Point Set Registration With Similarity and Affine Transformations Based on Bidirectional KMPE Loss
inferred← citeshttps://doi.org/10.1115/1.4042804openalex-snapshot
Study on the Die-Attach Voids Distribution With X-Ray and Image Processing Techniques
inferred← citeshttps://doi.org/10.1177/0142331220933430openalex-snapshot
Integration of affine ICP into the precise localization problem of smart-AGVs: Procedures, enhancements and challenges
inferred← citeshttps://doi.org/10.23919/eleco47770.2019.8990405openalex-snapshot
Robust Affine Iterative Closest Point Variant Using Point-to-line Metric and Correntropy Criterion
inferred← citeshttps://doi.org/10.3390/rs14092104openalex-snapshot
LiDAR-Inertial-GNSS Fusion Positioning System in Urban Environment: Local Accurate Registration and Global Drift-Free
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