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      Towards a Generic Bicubic Hermite Mesh Template for Cow Udders

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          Abstract

          The shape of cow udders represents an important trait for the functionality and longevity of dairy cows, yet traditional trait definitions cannot fully capture its complexity. In this work we propose a parametric cubic Hermite (CH) based mesh to model the shape of cow udders and teats. The workflow starts from selecting a subset of nodes from the data cloud captured by a depth scanner, and constructing a CH mesh from the nodes. Using a coherent point drifting (CPD) algorithm, the nodes on the mesh are registered from one cow to their counterparts of another cow while preserving the topological coherence of the mesh. This workflow works well for the udder surface when teats are excluded. However, when teats are included in the mesh, misaligned correspondences occur due to data point occlusion and insufficient sampling points. In summary, a first parametric mesh based 3D model has been constructed for the cow udder and teat. We have examined the efficacy of the morphing algorithm, and also the issues to be solved for a statistical cow udder and teat model.

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          Point set registration: coherent point drift.

          Point set registration is a key component in many computer vision tasks. The goal of point set registration is to assign correspondences between two sets of points and to recover the transformation that maps one point set to the other. Multiple factors, including an unknown nonrigid spatial transformation, large dimensionality of point set, noise, and outliers, make the point set registration a challenging problem. We introduce a probabilistic method, called the Coherent Point Drift (CPD) algorithm, for both rigid and nonrigid point set registration. We consider the alignment of two point sets as a probability density estimation problem. We fit the Gaussian mixture model (GMM) centroids (representing the first point set) to the data (the second point set) by maximizing the likelihood. We force the GMM centroids to move coherently as a group to preserve the topological structure of the point sets. In the rigid case, we impose the coherence constraint by reparameterization of GMM centroid locations with rigid parameters and derive a closed form solution of the maximization step of the EM algorithm in arbitrary dimensions. In the nonrigid case, we impose the coherence constraint by regularizing the displacement field and using the variational calculus to derive the optimal transformation. We also introduce a fast algorithm that reduces the method computation complexity to linear. We test the CPD algorithm for both rigid and nonrigid transformations in the presence of noise, outliers, and missing points, where CPD shows accurate results and outperforms current state-of-the-art methods.
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            A new point matching algorithm for non-rigid registration

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              Genetic parameters of health disorders, and relationships with 305-day milk yield and conformation traits of registered Holstein cows.

              A total of 4368 first lactation records for Holstein cows from 30 herds was used to estimate genetic parameters for yield, conformation traits, and the binary coded disease traits of udder edema, milk fever, retained placenta, metritis, displaced abomasum, ketosis, cystic ovary, mastitis, and lameness. Data on health, parentage, and yield came from an on-farm program for record keeping and management. Test day production data were obtained from British Columbia DHI. Type classification data were received from the Holstein Association of Canada. Heritabilities of disease traits were low ranging from 0 to 0.05. Exceptions were lameness (0.16) and ketosis (0.39). Correlations of disease traits with 305-d milk yield and of selected type traits with retained placenta, displaced abomasum, mastitis, and lameness were estimated. Phenotypic correlations did not substantially differ from 0 except for the correlation between lameness and rear leg set (0.37). Genetic correlations between disease traits and milk yield were mostly positive (0.02 to 0.44). Only retained placenta had a negative genetic correlation with milk yield (-0.28). Genetic correlations ranged from 0 to 0.37 between udder conformation traits and mastitis, from -0.38 to 0.09 between leg conformation traits and lameness, and from -0.11 to 0.38 between rump conformation and retained placenta. The results suggest that selection based solely on yield may increase the incidence of disease. Selection on conformation traits can help reduce the incidence of disease, although genetic correlations are low.
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                Author and article information

                Contributors
                minh.nguyen@aut.ac.nz
                weiqi.yan@aut.ac.nz
                harvey.ho@auckland.ac.nz
                harvey.ho@auckland.ac.nz
                Journal
                978-3-030-72073-5
                10.1007/978-3-030-72073-5
                Geometry and Vision
                Geometry and Vision
                First International Symposium, ISGV 2021, Auckland, New Zealand, January 28-29, 2021, Revised Selected Papers
                978-3-030-72072-8
                978-3-030-72073-5
                18 March 2021
                2021
                : 1386
                : 100-107
                Affiliations
                [5 ]GRID grid.252547.3, ISNI 0000 0001 0705 7067, Auckland University of Technology, ; Auckland, New Zealand
                [6 ]GRID grid.252547.3, ISNI 0000 0001 0705 7067, Auckland University of Technology, ; Auckland, New Zealand
                [7 ]Auckland Bioengineering House, Auckland, New Zealand
                [8 ]GRID grid.9654.e, ISNI 0000 0004 0372 3343, Auckland Bioengineering Institute, , University of Auckland, ; Auckland, New Zealand
                [9 ]GRID grid.457540.7, Geno SA, ; Storhamargata 44, 2317 Hamar, Norway
                [10 ]GRID grid.457964.d, Norsvin SA, ; Storhamargata 44, 2317 Hamar, Norway
                Article
                8
                10.1007/978-3-030-72073-5_8
                7971832
                75c5c94f-a36f-451f-9649-f6adecc7e9e3
                © Springer Nature Switzerland AG 2021

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

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                © Springer Nature Switzerland AG 2021

                udder,coherent point drifting,cubic hermite mesh
                udder, coherent point drifting, cubic hermite mesh

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