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A computational framework for modeling the respiratory motion of lung tumors provides a 4D parametric representation that tracks, analyzes, and models movement to provide more accurate guidance in the planning and delivery of lung tumor radiotherapy.
This article proposes a method of constructing a ping-pong system via marker less real rackets in collaborative augmented reality. Except a pair of video cameras, without any other sensors or artificial markers, users can use real rackets to hit virtual ping-pong ball on a virtual table and interact with remote partners in augmented reality scene just as they were playing ping-pong in the same place...
Polygonal meshes are the most popular representation scheme for 3D surfaces in computer graphics. Polygonal meshes usually have topological and/or geometric noises during their scanning and collection steps. Many geometric computing and manipulation operations need to be performed on clean meshes. Therefore, topological noises on polygonal meshes need to be removed in a preprocessing step, which is...
Feature-aligned surface mapping improves the effect of texture mapping by enforcing feature correspondence between 3D meshes and images. We present a novel constrained texture mapping computation framework based on the method of fundamental solution (MFS). We first flatten the surface onto planar domain, then compose a 2D harmonic map with user specified features aligned with corresponding texels...
We present a skull assembly and completion framework based on shape matching. In order to assemble fragmented skulls, we need to compute rigid transformations from these fragments to their assembled geometry. We develop a reliable assembly pipeline where each fragment is matched and transformed to be aligned with the template. In order to further complete the assembled skull with several damaged regions,...
In order to improve accuracy of estimation for ore reserves and average grade, it is important to select suitable interpolation method. Firstly, traditional inverse distance weighted method is analyzed and grade estimation model is improved. Specifically, irregular ellipsoid interpolation model is put forward, which is suitable for vein thin ore body or layer-like ore body, etc. The new model, based...
With the development of 3D scanning and imaging technologies, large amount of 3D surface and volumetric geometric data have been routinely collected these days. Compared with surface data, volumetric data are usually equipped with rich material, texture, intensity, and other heterogeneous structural information in their interior regions. Effectively visualizing such information can be very important...
This paper presents a registration framework for curve skeleton of 3D models. The algorithm matches two skeletons and deforms a source skeleton to the other target skeleton, so that each node aligns with its closest point on the target skeleton in a non-rigid manner. Transformations defined on each individual skeletal node is optimized to minimize a weighted combination of three errors: the Data Error,...
This paper develops a new trivariate hierarchical spline scheme for volumetric data representation. Unlike conventional spline formulations and techniques, our new framework is built upon a novel parametric domain called Generalized PolyCube (GPC), comprising a set of regular cubes being glued together. Compared with the conventional PolyCube (PC) that could serve as a "one-piece'' 3-manifold...
The generation of digitally reconstructed radiographs (DRRs) is a significant procedure in several medical imaging applications such as 2D/3D image registration. Also, digitally reconstructed radiographs play an important role in modern radiation therapy. They are planar X-rays that can be generated from the same data sets used for the planning CT scan, taken with the patient in the treatment position...
Alzheimer's disease (AD) is the most common type of dementia. Mild cognitive impairment (MCI) is considered as a transition stage between normal aging and dementia. In this study, 3D texture analysis was performed on magnetic resonance images (MRI) of 12 early AD patients, 12 MCI patients and 12 normal controls. Texture features of the hippocampus were extracted from gray level co-occurrence matrix...
The purpose of this paper is to explore three-dimensional (3D) visualization methods of flow unit in oil block. Using the theory and methods of petroleum geology, reservoir sedimentology, mathematical geology, computer graphics, through analyzing special blocks of oil field and block division into small layers, the physical parameters of reservoir were studied about the regularity of their inherent...
DLT (direct linear transformation) is one of the most popular methods of data simplification for camera calibration. An improved DLT method is proposed, the projective pseudo-inverse matrix is used to describe the relations between 2D coordinates and 3D coordinates, the improved DLT method can calculate the projective pseudo-inverse matrix based on only 4 known pixel points. The experiment results...
Thermal issue is a critical challenge in 3D IC design. To eliminate hotspots, physical layouts are always adjusted by shifting or duplicating hot blocks. However, these modifications may degrade the packing area as well as interconnect distribution greatly. In this paper, we propose some novel thermal-aware incremental changes to optimize these multiple objectives including thermal issue in 3D ICs...
To eliminate hotspots in 3D designs, physical layouts are always adjusted by shifting hot blocks. However, these modifications may degrade the packing area as well as microprocessor performance greatly. Furthermore, to improve time-to-market via design cycle reduction, incremental design must move from an expert methodology to a mainstream design methodology: one that is automated, integrated, reliable,...
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