信息技术营造数学教育情景的通常策略

多媒体技术的应用给数学教学改革带来一片生机。多媒体起始课问题情境需要生活性,多媒体训练思维问题情境需要启发性,多媒体突破难点问题情境需要动态性,多媒体研究性问题情境需要启发性,多媒体实验问题情境需要探究性,多媒体课后探究问题情境需要趣味性。     

Detail-replicating shape stretching

Mesh deformation has become a powerful tool for creating shape variations. Existing deformation techniques work on preserving surface details under bending and twisting operations. Stretching different parts of a shape is also a useful operation for generating shape variations. However, under stretching, texture-like geometric details should not be preserved but rather replicated. We propose a simple and efficient method that helps create model variations by applying nonuniform stretching on 3D models with organic geometric details. The method replicates the geometric details and synthesizes extensions by adopting texture synthesis techniques on surface details. We work on analyzing and separating the stretching of surface details from the stretching of the base mesh resulting in the appearance of preserved details. The efficiency of our method is attributed to a local parameterization of the surface with the help of curve skeletons. We show a variety of experimental results that demonstrate the usefulness of this intuitive stretching tool in creating shape variations.     

Image-based surface detail transfer

Changing an object's appearance by adding geometric details is desirable in many real-world applications. Bump mapping has acted as an alternative to adding geometrical details, to an otherwise smooth object. But constructing visually interesting bump maps requires practice and artistic skills. Computer vision techniques have helped for modeling real-world objects and their surface details. In our approach, for cases where we only want to transfer geometrical details from one object to another, we might not need to explicitly compute 3D structures. In particular, our novel technique captures the geometrical details of an object from a single image in a way that is independent of the object's reflectance property. We can then transfer geometrical details to another surface, producing the appearance of a new surface with added geometrical details while preserving the object's reflectance property. Our method's advantages are that it's simple to implement, requires only a single image for each object, and produces effective results.     

在小波分解下的分形块方法图象编码

本文分析了分形块方法在小波变换下的特点，指出特殊的块方法是从低分辨率细节构造高分辨率细节的本质，给出了一种简单的解码过程，只需递推有限步便可恢复原图象。根据类似的思想。本文作者提出更一般的由低分辨率细节构造高分辨率细节的方法。     

Feature Representation for High-resolution Clothed Human Reconstruction

Detailed and accurate feature representation is essential for high-resolution reconstruction of clothed human. Herein we introduce a unified feature representation for clothed human reconstruction, which can adapt to changeable posture and various clothing details. The whole method can be divided into two parts: the human shape feature representation and the details feature representation. Specifically, we firstly combine the voxel feature learned from semantic voxel with the pixel feature from input image as an implicit representation for human shape. Then, the details feature mixed with the clothed layer feature and the normal feature is used to guide the multi-layer perceptron to capture geometric surface details. The key difference from existing methods is that we use the clothing semantics to infer clothed layer information, and further restore the layer details with geometric height. We qualitative and quantitative experience results demonstrate that proposed method outperforms existing methods in terms of handling limb swing and clothing details. Our method provides a new solution for clothed human reconstruction with high-resolution details (style, wrinkles and clothed layers), and has good potential in three-dimensional virtual try-on and digital characters.     

基于图像分解和相对全变分的图像平滑

图像平滑旨在去除图像中纹理细节信息的同时保留重要的结构边缘,因此如何正确区分二者成了图像平滑的关键。梯度作为计算图像变化速度的重要指标是区分结构边缘和纹理细节的有效度量,但不同图像以及同一图像不同区域中的纹理和边缘的梯度差异并非固定不变的。为了能够有效识别结构边缘和纹理细节,提出了基于图像分解和相对全变分的图像平滑方法。为了扩大结构边缘和纹理细节之间的差异,实现在尽可能不改变结构边缘的前提下降低纹理细节的梯度,以多方向的梯度为约束对图像进行分解,提取图像的平滑成分。在特定尺度下,基于图像的区域结构差异,采用相对全变分方法,在保留结构边缘的同时去除该尺度下的纹理细节。通过迭代优化,不断调整图像区域尺度,实现对不同尺度纹理细节的逐步去除。与现有算法相比,新方法在有效地去除纹理细节和完整地保留结构边缘方面都具有较好的视觉效果。     

EXCEL在工资查询系统中的运用

EXCEL电子表格作为常用的数据处理的数据处理功能是非常强大的,给我们的日常工作带来了方便,但在数据查询方面EXCEL就显得力不从心了。如我们查询一个人的工资发放明细时,只能打开所有人员的工资明细,而不能屏蔽其他人员的工资明细,在实践中,我们运用EXCEL的VBA功能实现了指定人员工资明细的随有查询,提高了工作效率和工作质量。     

Displaying of details in subvoxel accuracy

Under the volume segmentation in voxel space,a lot of details,some fine and thin objects,are ignored.In order to accurately display these details,this paper has developed a methodology for volume segmentation in subvoxel space.In the subvoxel space,most of the “bridges”between adjacent layers are broken down.Based on the subvoxel space,an automatic segmentation algorithm reserving details is discussed.After segmentation,volume data in subvoxel space are reduced to original voxel space.Thus,the details with width of only one or several voxels are extracted and displayed.     

一种基于小波的多边形变形算法

文章提出了一种基于小波分解算法和相应的重构算法的变形方法。先用小波分解算法作用于平面多边形,得到平面多边形的轮廓和细节。然后分别对多边形的轮廓和细节进行变形,得到从初始图形变换到目标图形的中间图形的轮廓和细节。最后用重构算法重构出中间图形。该文算法可以处理任意顶点数的多边形,减少同构三角剖分的计算量,并且能够得到很好的变形结果。     

图像分解模型在医学图像增强中的应用

医学图像增强是医学图像处理中的重要环节。通过分析小波去噪和ROF模型的缺陷,先利用ROF分解模型将医学图像分解成为轮廓部分和细节及噪声部分,然后对轮廓部分进行保留,接着考虑到小波系数的非高斯性,对细节和噪声进行了小波去噪,并从中提取了图像的细节部分,最后将之前的轮廓部分与之后的细节部分进行叠加。实验结果表明,本文的算法具有较高的峰值信噪比和较高的边缘保持度。     

Interactive modeling of complex geometric details based on empirical mode decomposition for multi-scale 3D shapes

In this paper we develop an interactive modeling system for complex geometric details transformation based on empirical mode decomposition (EMD) on multi-scale 3D shapes. Given two models, we aim to transfer geometric details from one model to another one in an interactive manner. Taking full advantages of the multi-scale representation computed via EMD, different-scale geometric details can be transferred individually or in a concerted way, which makes our algorithm much more flexible than cut-and-paste and cloning based methods in transferring geometry details. In this process, the target surface with new transferred details could be generated by a mesh reconstruction method widely used in Laplacian surface editing. With the original positions of target surface serving as the soft constraints, the overall shape of the target model will be fully preserved. Our method can also support real-time continuous details transfer. Compared with state-of-the-art algorithms, our method provides an easier-to-use modeling tool and produces varied modeling results. We demonstrate the effectiveness of our modeling tool with various applications, such as detail transfer and enrichment, model reuse and recreation, and detail recovery for shape completion.     

Creating and Preserving Vortical Details in SPH Fluid

We present a new method to create and preserve the turbulent details generated around moving objects in SPH fluid. In our approach, a high‐resolution overlapping grid is bounded to each object and translates with the object. The turbulence formation is modeled by resolving the local flow around objects using a hybrid SPH‐FLIP method. Then these vortical details are carried on SPH particles flowing through the local region and preserved in the global field in a synthetic way. Our method provides a physically plausible way to model the turbulent details around both rigid and deformable objects in SPH fluid, and can efficiently produce animations of complex gaseous phenomena with rich visual details.     

一种基于高阶统计量的图像混和加权滤波方法

平滑噪声和保持边缘细节是对图像滤波两个方面的要求,如何兼顾和平衡二者是图像滤波要解决的核心问题。根据高斯噪声的特点,该文引入高阶统计量并结合空域滤波的模板法描述图像的纹理信息,提出了一种基于高阶统计量分析的图像混和加权滤波方法。文章利用高阶累积量所描述的图像细节复杂程度对模板进行分类,并分别采用相应的滤波方法,最后通过混和加权而得到其估值,从而既较好地保持了图像边缘细节,又有效地滤除了图像噪声。实验结果表明,相对于几种常见的保细节滤波方法,文章介绍的方法能够得到更好的效果。     

Visa puts its faith in wallets

Consumers are not shopping online because they are reluctant to send their payment card details across the Internet. Using smart cards to hold card details and then to encrypt these details automatically for transmission to merchant sites is the long-term solution. But the widespread introduction of smart cards — and readers at PCs to handle them — is still some way off. So Visa has come up with an interim solution — the electronic wallet.     

保持图像细节的红外图像直方图均衡算法

针对灰度图像经传统直方图均衡算法后因部分灰度级被合并而导致图像细节丢失的问题,提出了一种新的可保持图像细节的红外图像均衡算法.该算法避免了传统直方图均衡带来的灰度断层和丢失现象,对图像灰度级进行无损均衡,提高了图像质量.实验表明该算法使图像的细节和清晰度得到明显的增强。     

An infrared and visible image fusion algorithm based on ResNet-152

Multimedia Tools and Applications - The fusion of infrared and visible images can obtain a combined image with hidden objective and rich visible details. To improve the details of the fusion image...     

Hierarchical Deformation of Locally Rigid Meshes

We propose a method for calculating deformations of models by deforming a low‐resolution mesh and adding details while ensuring that the details we add satisfy a set of constraints. Our method builds a low‐resolution representation of a mesh by using edge collapses and performs an as‐rigid‐as‐possible deformation on the simplified mesh. We then add back details by reversing edge‐collapses so that the shape of the mesh is locally preserved. While adding details, we deform the mesh to match the predicted positions of constraints so that constraints on the full‐resolution mesh are met. Our method operates on meshes with arbitrary triangulations, satisfies constraints over the full‐resolution mesh and converges quickly.     

Geometry Texture Synthesis Based on Laplacian Texture Image

In this paper, we present a new method to synthesize geometric texture details on an arbitrary surface from a sample texture patch. The key idea is to use Laplacian texture images to represent geometric texture details, which in turn facilitate simple and effective geometry texture synthesis and enable flexible geometry texture editing. Given a sample model and a target model, we first select a patch from the sample model and extract the geometric texture details. Next, we construct a Laplacian texture imag...     

医学图像增强与直方图处理

文章介绍了图像增强的相关知识,重点介绍了用直方图增强图像的方法。用直方图处理图像包括直方图均衡化和直方图规定化。直方图均衡化和直方图规定化能增强图像的对比度,使图像更清晰。直方图均衡化对局部细节的增强效果不显著,而直方图规定化则使关注的细节变得更清晰。所以直方图规定化法处理医学图像局部细节方面优于均衡化。     

基于第二代曲波变换算法的检测图像增强

为了提高组织结构细节的显示,满足机器分析的要求,对图像进行多层的小波分解与重构,通过对多层分解后的低频逼近系数和各层分解的细节系数作处理,以达到对图像进行增强目的。引入的第二代曲波(ⅡCurvelet)增强算法,根据各子带的噪声水平分别进行分段非线性增强,最后进行反变换得到增强图像。增强对比实验表明:ⅡCurvelet增强算法在整体效果和局部细节上优于小波增强算法,更能达到抑制背景噪声、突出目标细节、提高对比度的效果,对检测图像增强更加有效。