A nonparametric approach to 3D shape analysis from digital camera images – II

DOI10.1080/02664763.2019.1610163OpenAlexW2942716857WikidataQ127945377 ScholiaQ127945377MaRDI QIDQ5036911

Mingfei Qiu, Robert Paige, Victor Patrangenaru

Publication date: 25 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2019.1610163

zbMATH Keywords

nonparametric bootstrapextrinsic meansinfinite-dimensional dataneighborhood hypothesis test

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

• Nonparametric estimation of means on Hilbert manifolds and extrinsic analysis of mean shapes of contours
• Two sample tests for mean 3D projective shapes from digital camera images
• Intrinsic inference on the mean geodesic of planar shapes and tree discrimination by leaf growth
• Random change on a Lie group and mean glaucomatous projective shape change detection from stereo pair images
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• Bootstrap methods: another look at the jackknife
• Large sample theory of intrinsic and extrinsic sample means on manifolds. I
• The one- and multi-sample problem for functional data with application to projective shape analysis
• Large sample theory of intrinsic and extrinsic sample means on manifolds. II.
• Directions and projective shapes
• Shape Manifolds, Procrustean Metrics, and Complex Projective Spaces
• NEW LARGE SAMPLE AND BOOTSTRAP METHODS ON SHAPE SPACES IN HIGH LEVEL ANALYSIS OF NATURAL IMAGES
• Multiple View Geometry in Computer Vision
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