1,077 research outputs found
Convective regularization for optical flow
We argue that the time derivative in a fixed coordinate frame may not be the
most appropriate measure of time regularity of an optical flow field. Instead,
for a given velocity field we consider the convective acceleration which describes the acceleration of objects moving according to
. Consequently we investigate the suitability of the nonconvex functional
as a regularization term for optical flow. We
demonstrate that this term acts as both a spatial and a temporal regularizer
and has an intrinsic edge-preserving property. We incorporate it into a
contrast invariant and time-regularized variant of the Horn-Schunck functional,
prove existence of minimizers and verify experimentally that it addresses some
of the problems of basic quadratic models. For the minimization we use an
iterative scheme that approximates the original nonlinear problem with a
sequence of linear ones. We believe that the convective acceleration may be
gainfully introduced in a variety of optical flow models
Optical Flow on Moving Manifolds
Optical flow is a powerful tool for the study and analysis of motion in a
sequence of images. In this article we study a Horn-Schunck type
spatio-temporal regularization functional for image sequences that have a
non-Euclidean, time varying image domain. To that end we construct a Riemannian
metric that describes the deformation and structure of this evolving surface.
The resulting functional can be seen as natural geometric generalization of
previous work by Weickert and Schn\"orr (2001) and Lef\`evre and Baillet (2008)
for static image domains. In this work we show the existence and wellposedness
of the corresponding optical flow problem and derive necessary and sufficient
optimality conditions. We demonstrate the functionality of our approach in a
series of experiments using both synthetic and real data.Comment: 26 pages, 6 figure
Decomposition of Optical Flow on the Sphere
We propose a number of variational regularisation methods for the estimation
and decomposition of motion fields on the -sphere. While motion estimation
is based on the optical flow equation, the presented decomposition models are
motivated by recent trends in image analysis. In particular we treat
decomposition as well as hierarchical decomposition. Helmholtz decomposition of
motion fields is obtained as a natural by-product of the chosen numerical
method based on vector spherical harmonics. All models are tested on time-lapse
microscopy data depicting fluorescently labelled endodermal cells of a
zebrafish embryo.Comment: The final publication is available at link.springer.co
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Arum-type of arbuscular mycorrhizae, dark septate endophytes and Olpidium spp. in fine roots of container-grown seedlings of Sorbus torminalis (Rosaceae)
The aim of this study was to determine the mycorrhizal status of nursery
seedlings of the wild service tree (Sorbus torminalis), which belongs to the
Rosaceae family. Its mycorrhizal associations are still fragmentarily known,
and data from the few existing studies indicate that it forms ectomycorrhizal
symbiosis (ECM). We analyzed the degree of mycorrhizal colonization of thirty
2-year-old container-grown S. torminalis nursery seedlings, which belonged to
three single-tree progenies. The roots were dominated by arbuscular
mycorrhizae (AM), with the morphology of the Arum-type containing arbuscules,
vesicles and hyphae; however, no ECM structures were found. The degree of root
colonization of the analyzed seedlings by AM fungi was 83.6% and did not
differ significantly between the three single-tree progenies. In addition to
AM, structures of dark septate endophytes (0.7%) and sporangia of Olpidium
spp. (1.1%) were found in wild service tree roots. In agreement with previous
studies, we confirmed arbuscular mycorrhizae for S. torminalis. Moreover, this
is the first report that roots of this Sorbus species show the Arum-type
morphology of AM and are associated with Olpidium species
Review of Economic Submissions to NICE Medical Technologies Evaluation Programme
The economic evaluation of medical devices is increasingly used to inform decision making on adopting new or novel technologies; however, challenges are inevitable due to the unique characteristics of devices. Cost-consequence analyses are recommended and employed by the English National Institute for Health and Care Excellence (NICE) Medical Technologies Evaluation Programme (MTEP) to help address these challenges. The aim of this work was to review the critiques raised for previous MTEP submissions and explore if there were common problems across submissions. We reviewed a sample of 12 economic submissions to MTEP representing 50 % of 24 sets of guidance issued to July 2015. For each submission, we reviewed the External Assessment Centre's (EAC) report and the guidance document produced by NICE. We identified the main problems raised by the EAC's assessments and the committee's considerations for each submission, and explored strategies for improvement. We found that the identification and measurement of costs and consequences are the main shortcomings within economic submissions to MTEP. Together, these shortcomings accounted for 42 % of criticisms by the EACs among the reviewed submissions. In certain circumstances problems with these shortcomings may be unavoidable, for example, if there is a limited evidence base for the device being appraised. Nevertheless, strategies can often be adopted to improve submissions, including the use of more appropriate time horizons, whilst cost and resource use information should be taken, where possible, from nationally representative sources
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