用于地图自动识别的彩色分类方法的研究

完善的彩色分类方法将大大降低地图自动输入中识别的复杂性．基于模式识别理论和对现有各种彩色特征空间的分析，提出了一种针对地图彩色特点的彩色分类方法．这种方法用于实际的地图处理和描述，将加速地图的自动输入过程．     

最佳色的近似显现

最佳色是对于给定的色品(x,y)具有最大亮度Y的颜色,它具有最大的光反射率和透射率,用薄膜光学技术近似显现最佳颜色的方法,可以得到不同色彩的滤光片。     

彩色测温方法中物体辐射色域的界定和划分

介绍了彩色测温方法的基本原理, 并基于可见光波段内光谱发射率的线性模型给出物体辐射颜色色品的表述; 明确了一个色品最多只能求解出两个温度; 解决了彩色测温方法中物体辐射色域的界定问题,并将辐射色域划分为温度单解域和双解域。     

Generalized Multiple Baseline Stereo and Direct Virtual View Synthesis Using Range-Space Search, Match, and Render

A new range-space approach is described for synergistic resolution of both stereovision and reflectance (visual) modeling problems simultaneously. This synergistic approach can be applied to arbitrary camera arrangements with different intrinsic and extrinsic parameters, image types, image resolutions, and image number. These images are analyzed in a step-wise manner to extract 3-D range measurements and also to render a customized perspective view. The entire process is fully automatic. An extensive and detailed experimental validation phase supports the basic feasibility and generality of the Range-Space Approach.     

View-dependent textured splatting

We present a novel approach to render low resolution point clouds with multiple high resolution textures – the type of data typical from passive vision systems. The low precision, noisy, and sometimes incomplete nature of such data sets is not suitable for existing point-based rendering techniques that are designed to work with high precision and high density point clouds. Our new algorithm – view-dependent textured splatting (VDTS) – combines traditional splatting with a view-dependent texturing strategy to reduce rendering artifacts caused by imprecision or noise in the input data.VDTS requires no pre-processing of input data, addresses texture aliasing, and most importantly, processes texture visibility on-the-fly. The combination of these characteristics makes VDTS well-suited for interactive rendering of dynamic scenes. Towards this end, we present a real-time view acquisition and rendering system to demonstrate the effectiveness of VDTS. In addition, we show that VDTS can produce high quality rendering when the texture images are augmented with per-pixel depth. In this scenario, VDTS is a reasonable alternative for interactive rendering of large CG models.     

Quantitative evaluation of display characteristics of AMOLED displays

Abstract— Understanding the display characteristics of OLEDs is not only of general interest but also of technological importance for expanding the application of OLEDs. The display characteristics of AMOLEDs were quantitatively evaluated and compared with LCD or CRT performance. The fast response time and high contrast ratio, which are attractive characteristics of OLEDs, were also retained under low temperature and bright ambient, respectively. Moreover the luminance and color barely changed with viewing angle at any gray‐scale level. The optical design of OLED diodes is important for the emission characteristics, luminance, and color reproducibility.     

利用MATLAB对彩色图像进行低通滤波

彩色图像的数据量比较大,在进行压缩与传输时会增加工作负担。通过对图像的频谱特性分析可以知道,一幅图像中的低频成分要远远高于高频成分,大部分图像信息集中在低频部分。因此,在不过于苛刻地计较图像的再现质量的场合下,如果将代表图像边缘,跳越部分,以及颗粒噪声的高频部分通过低通滤波器滤除的话就会减少图像数据量,进而减少下一步的工作量。本文主要以真彩色RGB图像为例,介绍一种对其进行低通滤波的方法。     

一种快速的彩色序列图像人脸检测算法

针对视频中的彩色序列图像，提出了一种人脸检测算法。该算法是一个由粗到精的检测过程。首先采用运动检测分析方法，根据多帧差分图像中运动物体边缘点的水平投影确定目标的水平位置，并结合肤色检测算法进一步确定人脸位置，然后用训练好的支持向量机进行人脸验证。实验结果表明，针对一般的彩色序列图像任意姿态人脸检测问题，该算法快速有效。     

模糊聚类和边缘检测结合的彩色图像分割算法

提出模糊聚类和边缘检测结合的彩色图像分割方法,以色彩图像直方图中自适应搜索到的峰值作为聚类中心,对图像进行模糊聚类。然后对模糊聚类后的图像进行边缘检测,检测出面积较大的区域的边缘,首先在区域内部进行融合,然后在区域边界和面积较小色彩相似的区域融合。实验表明,本方法不需预先确定聚类数目、聚类中心初始化,在区域融合后,可得到较好的分割效果。     

基于光线投射算法的混合场景可视化

体绘制技术常用于3维体数据场的可视化,其虽然可以生成高质量的投影图像,但通常不能绘制由体数据与点、线、面图形组成的混合场景。在现有的混合场景可视化方法中,有些只能绘制由体数据与面图形组成的复杂混合场景,而不能处理存在点和线的混合场景;有的则成像速度慢、成像质量差。为了能够正确地绘制复杂混合场景,采用SIMD和软件加速等技术,提出了一种速度快、成像质量高的基于光线投射算法的混合场景可视化方法,并分析了该算法所具有的3种绘制次序,以便满足不同应用的要求。该算法既可用于不同场景的绘制,又可用于平行和透视投影中。实验结果表明,该算法能够正确地绘制体数据与点、线、面图形组成的混合场景,且成像速度快,图像质量高。