TV改进算法及其在人脸识别中的应用

针对传统全变分（TV）模型在测试过程中存在的问题,将弹性网引入TV模型中,采用二次多项式对TV模型所丢弃的人脸低频信息进行光照归一化处理,并提取图像的高频信息,在YaleB图像库中测试其性能,仿真实验结果表明,相对于TV模型,TV＋二次多项式模型能够有效提高图像识别率。     

Importance sampling for volumetric illumination of flames

Physically based rendering of scenes with volumetric illumination of flames remains a challenging problem due to the complexity of their heterogeneous radiative properties. Current bidirectional importance sampling strategies have been focusing on emissive light sources without anisotropic extinction. In this paper, we present an efficient importance sampling method for volumetric light sources with anisotropic extinction. According to the radiative properties of flames, we separate the computation of anisotropic extinction from the evaluation of illumination inside flames and utilize cluster-based hierarchies to rapidly estimate them. To exploit the coherence of radiative voxels, we also propose a new similarity metric to aggregate voxels into clusters. For each pixel to be shaded, we use these clusters to rapidly approximate the importance function of voxels, and draw final illumination samples from clusters. Our results show that this approach substantially reduces the variance of images when rendering scenes with flames.     

基于MSP430的公共照明控制器的设计与实现

应用Texas Instruments(德州仪器)公司研制的新一代超低功耗、功能强大、接口丰富的MSP430系列FLASH型单片机,以GP RS无线数据服务平台为传输媒介,设计了一种公共照明控制器.详细介绍了系统功能、硬件设计方案和软件实现方法,并给出了部分电路原理图和程序流程图.现已实际应用于城市照明监控管理系统中,在创造了客观经济效益的同时还实现了节能降耗的目的.     

Point Light Source Estimation from Two Images and Its Limits

In this paper, the performance of parameter estimation of a single static distant point light source from two video images is analyzed in terms of estimation theory. The illumination parameters are the intensity and direction of the light source.In the first part of this paper, estimators from the literature are reviewed. Most recent estimators evaluate as input data two video images as well as the 3D shape and the 3D motion of the visible moving objects.In the second part of the paper, the performance of these recent methods is analyzed. The input data to estimation as well as the inherent input data errors are described by a stochastic observation model. Based on this model, the performance is analyzed regarding the Cramér-Rao theoretical lower bound of estimation error variances. The bound is derived for a variety of cases of scene illumination, object motion and errors in input data. For simplification purpose, the bound is valid only for object motions with the rotation axis lying in the image plane. The analysis shows in which cases which estimation accuracy can be expected with current methods.Finally, a comparison of the bound with one of the recent estimators shows that recent estimators are suboptimal in case of errors in the 3D shape of the objects. In future work, the stochastic observation model presented in this paper can be used to improve illumination estimation.     

Ergonomic evaluation of electronic paper: Influences of anti‐reflection surface treatment,illumination, and curvature on legibility and visual fatigue

Abstract— The intent of this study is to investigate some critical factors that affect legibility and visual fatigue while reading on an electronic‐paper display in terms of ergonomics. Anti‐reflection surface treatment, ambient illumination, and bending curvature are taken into account to evaluate their effects by using the method of letter‐search task. The results showed that the surface treatment with high degrees of anti‐reflection significantly improved the legibility and reduces visual fatigue. Thus, electronic‐paper manufacturers may choose a much better surface treatment in order to meet ergonomic demand. In addition, the findings in the present study also indicate that subjects reported less visual fatigue on a bending surface of a visual display unit, in comparison with a plane surface. It is proven that these ergonomic evaluations for electronic paper provide manufactures with useful information to design suitable products for users.     

一种面向并行实现的全局光照算法

提出了种适合于并行实现的全局光照算法。对真实感图象的实时生成和交互式性运行进行了有益的探索,算法主要由两个模块组成;粒子跟踪过程,网格优化与密度估计过程,在此进行了详细介绍。另外,给出算法实际运行得到的具有高度真实感的生成图象。     

冷轧带钢缺陷表面形状恢复新算法

为改善冷轧带钢表面缺陷分类识别性能,提出基于从阴影恢复形状原理的表面缺陷三维重构算法． 针对表面缺陷检测系统的光路设计,提出一种改进的Oren-Nayar漫反射模型,结合透视投影模型推导出相应 的反射图方程,利用基于高阶Lax-Friedrichs汉密尔顿函数和牛顿迭代相结合的快速扫描算法完成了该方程 的求解,实现表面缺陷三维信息的提取．利用合成图像和表面缺陷图像进行三维重构实验,结果表明该算法 重构精度高,验证了改进光照模型的正确性．该三维重构算法能够有效地提取冷轧带钢表面缺陷三维信息, 有助于提高表面缺陷分类识别性能     

Quantitative comparison between full-spectrum and filter-based imaging in hyperspectral fluorescence microscopy

We implement a filterless illumination scheme on a hyperspectral fluorescence microscope to achieve full-range spectral imaging. The microscope employs polarisation filtering, spatial filtering and spectral unmixing filtering to replace the role of traditional filters. Quantitative comparisons between full-spectrum and filter-based microscopy are provided in the context of signal dynamic range and accuracy of measured fluorophores' emission spectra. To show potential applications, a five-colour cell immunofluorescence imaging experiment is theoretically simulated. Simulation results indicate that the use of proposed full-spectrum imaging technique may result in three times improvement in signal dynamic range compared to that can be achieved in the filter-based imaging.     

基于改进空体素跳跃法的光线投射算法

提出一种针对计算统一设备架构(CUDA)存储器的访存优化策略。在此基础上,给出适用于CUDA存储器的改进空体素跳跃法,以减少对空体素采样点的处理,加快基于Phong光照模型的光线投射算法的运行速度。实验结果表明,该算法能在保证图像质量的前提 下,提高图像绘制速度。