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Found 7 papers, 1 papers with code
Can viewer proximity be a behavioural marker for Autism Spectrum Disorder?
Screening for any of the Autism Spectrum Disorders is a complicated process often involving a hybrid of behavioural observations and questionnaire based tests.
Low radiation tomographic reconstruction with and without template information
Our results on 3D data show that prior information can be used to compensate for the low-dose artefacts, and we demonstrate that it is possible to simultaneously prevent the prior from adversely biasing the reconstructions of new changes in the test object, via a method called ``re-irradiation''.
Tomographic reconstruction to detect evolving structures
While this is easily feasible when measurements are acquired from a large number of projection views, it is challenging when the number of views is limited.
Learning from past scans: Tomographic reconstruction to detect new structures
The need for tomographic reconstruction from sparse measurements arises when the measurement process is potentially harmful, needs to be rapid, or is uneconomical.
A Large Dataset for Improving Patch Matching
Similarly on the Strecha dataset, we see an improvement of 3-5% for the matching task in non-planar scenes.
Tomographic Reconstruction using Global Statistical Prior
Recent research in tomographic reconstruction is motivated by the need to efficiently recover detailed anatomy from limited measurements.
Improved Descriptors for Patch Matching and Reconstruction
Scenes from the Oxford ACRD, MVS and Synthetic datasets are used for evaluating the patch matching performance of the learnt descriptors while the Strecha dataset is used to evaluate the 3D reconstruction task.
