Mathematical modeling of additive manufacturing technologies is aimed at improving the performance of device, machine, and mechanism parts. These technologies include stereolithography, electrolytic deposition, thermal and laserbased 3D printing, 3D-IC fabrication technologies, etc. They are booming nowadays, because they can provide rapid low-cost high-accuracy production of 3D items of arbitr...

In this paper, we introduce a compositive model of fabrication cost, network throughput and power consumption, to explore different 3D design options of 3D NoCs. The model allows partition of IPs across different dies in 3D stack. Based on the model an estimation tool, 3D-Partition, is created and validated by comparing its results with those obtained from NIRGAM. Effects of various 3D NoC arch...

With the development of digital earth and cyber city, there is an increasing equipment on management and vitalization of integrated 3D model data and image data. How to improve the speed and visualization effect of three-dimesional (3D) model is a major research issue in 3D GIS. In order to improve the speed of 3D visualization, such as flying/walking through, many algorithms have been develope...

As objects are inherently 3-dimensional, they have been modeled in 3D in the early days of computer vision. Due to the ambiguities arising from mapping 2D features to 3D models, 2D feature-based models are the predominant paradigm in object recognition today. While such models have shown competitive bounding box (BB) detection performance, they are clearly limited in their capability of fine-gr...

conclusion both techniques provided quantitatively consistent results of in vivo velocity vector fields in right internal carotid artery (rca). pc mri represented a good estimation of main flow patterns inside the vasculature, which seems to be acceptable for clinical use. however, limitations of each technique should be considered while interpreting results. subjects and methods mr imaging was...

This paper proposes a 3D shape descriptor network, which is a deep convolutional energy-based model, for modeling volumetric shape patterns. The maximum likelihood training of the model follows an “analysis by synthesis” scheme and can be interpreted as a mode seeking and mode shifting process. The model can synthesize 3D shape patterns by sampling from the probability distribution via MCMC suc...

Image texture can arise not only from surface albedo variations (2D texture) but also from surface height variations (3D texture). Since the appearance of 3D texture depends on the illumination and viewing direction in a complicated manner, such image texture can be called a bidirectional texture function. A fundamental representation of image texture is the histogram of pixel intensities. Sinc...

Three-dimensional (3D) image acquisition systems are rapidly becoming more affordable, especially systems based on commodity electronic cameras. At the same time, personal computers with graphics hardware capable of displaying complex 3D models are also becoming inexpensive enough to be available to a large population. As a result, there is potentially an opportunity to consider new virtual rea...

The topic of this project is content-based retrieval of 3D models that are represented as triangle meshes. An object from some 3D geometry database can traditionally be accessed using attached structural information such as textual annotation. However, there are frequent requirements for a content-based retrieval of various multimedia contents. A content-based 3D model retrieval system has been...

Face reconstruction models can be classified into two groups: the 2D face models and the 3D face models. The 2D-based group includes Active Appearance Models (AAMs) [4], which achieved great success. But the problem for AAMS is that the reconstruction with AAMs fails if the indepth rotation of the face becomes large. 3D-based methods have been proposed to solve the problem. 3D morphable model (...