Traditional volumetric scene reconstruction algorithms involve the evaluation of many millions of voxels which is highly time consuming. This paper presents an efficient algorithm based of future frame prediction that can dramatically reduce the number of voxels to be evaluated in time varying scenes. The new prediction method, combining scene flow and morphological dilations, is evaluated agai...

In the isointense stage, the accurate volumetric image segmentation is a challenging task due to the low contrast between tissues. In this paper, we propose a novel very deep network architecture based on densely convolutional network for volumetric brain segmentation. The proposed network architecture provides a dense connection between layers that aims to improve the information flow in the n...

We computationally demonstrate one-way optical transmission characteristics of a subwavelength slit. We comparatively study the effect in single layer and double layer metallic corrugations. We also investigate the effect of a dielectric spacer layer between double corrugations to control the volumetric coupling of plasmon and optical modes. We computationally show unidirectional transmission b...

In many applications, separable algorithms have demonstrated their efficiency to perform high performance and parallel volumetric computations, such as distance transformation or medial axis extraction. In the literature, several authors have discussed about conditions on the metric to be considered in a separable approach. In this article, we present generic separable algorithms to efficiently...

Point, linear and areal elements, which are two-dimensional and of a graphic nature, are the morphological elements employed when designing tactile maps and symbols for visually impaired users. However, beyond the two-dimensional domain, there is a fourth group of elements – volumetric elements – which mapmakers do not take sufficiently into account when it comes to designing tactile maps and s...

High-quality 3D object recognition is an important component of many vision and robotics systems. We tackle the object recognition problem using two data representations, to achieve leading results on the Princeton ModelNet challenge. The two representations: • Volumetric representation: the 3D object is discretized spatially as binary voxels 1 if the voxel is occupied and 0 otherwise. • Pixel ...

BACKGROUND Biomechanical deformable volumetric registration can help improve safety of surgical interventions by ensuring the operations are extremely precise. However, this technique has been limited by the accuracy and the computational efficiency of patient-specific modeling. METHODS This study presents a tissue-tissue coupling strategy based on penalty method to model the heterogeneous be...

This paper proposes a new method to calculate the volumetric efficiency and hydraulic of centrifugal pumps based on principle energy balance. Two efficiencies are calculated by means low specific speed pump handling media with different viscosities at best points compared those two existing methods. The results manifest that definition in present is more precisive sensitive change liquid viscos...