Vehicletracking and classification in challenging scenarios via slicesampling [J]. EURASIP journal on advances in signal pro.cessing,2011(1):1-17.M. Nieto, L. Unzueta, J. Barandiaran, A. Cortes, O. Otaegui, and
The reconstruction process is started from a low-resolution µ-CT image slice H0, based on which a one-time higher resolution image H1 will be established. In this circumstance, H0 is considered as a blurred and down-sampled version of H1 with a blurry kernel B and downsampling factor s...
Both works showed promising improvements on 3D classification and segmentation tasks, which proved the im- portance of local contexts. However, their local context modeling methods all relied on heavy extra computations such as the iterate farthest point sampling and ball query in [23] and the KD...
Because of undersampling in k-space (M≪N), the inverse problem of Eq. 1 is ill-posed. To solve this Datasets To evaluate the performance of the proposed SR-Net, we performed experiments on two public raw MRI datasets. The first dataset is the Calgary-Campinas Public Brain MR Data (...
Even if theoretically true, 3D-3D registration methods can not be extrapolated in a straightforward way to the slice-to-volume scenario. This holds, particularly, for registration methods based on image information, since the descriptors used to quantify similarities between images, normally assume ...
The term “volume rendering” means processing for generating a projection pixel based on an opacity value, brightness value or the like that has been set for each voxel constituting a three-dimensional medical image. The projection pixel is generated by sampling an opacity value, brightness value...
Ensemble of shape functions for 3D object classification. In Proceedings of the 2011 IEEE International Conference on Robotics and Biomimetics, Karon Beach, Thailand, 7–11 December 2011. 11. Yang, J.; Quan, S.; Wang, P.; Zhang, Y. Evaluating Local Geometric Feature Representations for 3D ...