多传感器图像采集处理系统的设计与实现

为了完成一个多传感器图像采集处理系统的设计、软硬件实现,采用参数同步配置方法提高多CMOS图像传感器同步曝光精度.采用基于Bayer颜色滤波阵列图像的残差集近无损压缩方法提高图像数据传输速度.系统三传感器曝光达到了微秒级同步精度.约为课题任务要求的1/29.在保证重建图像质量精度的前提下,数据传输速度提高了约4.4倍.给出了系统部分最终测试结果.     

基于残差能量的H.263与H.264间的编码转换

论述当前的视频转换编码技术,提出一种低复杂度的从H.263到H.264的编码转换结构。该结构基于视频编码中运动估计的残差能量最小的原理,使用自适应能量分类的方法对转换编码进行优化。实验结果显示,该方法相对于H.264全模式搜索能够节省50%以上的时间。与其他快速算法相比,具有较高的编码转换性能。     

Novel algorithm for pose-invariant face recognition

By combining the AdaBoost modular locality preserving projection(AMLPP) algorithm and the locally linear regression(LLR) algorithm,a novel pose-invariant algorithm is proposed to realize high-accuracy face recognition under different poses.In the training stage of this algorithm,the AMLPP is employed to select the crucial frontal blocks and construct effective strong classifier.According to the selected frontal blocks and the corresponding non-frontal blocks,LLR is then applied to learn the linear mappings which will be used to convert the non-frontal blocks to visual frontal blocks.During the testing of the learned linear mappings,when a non-frontal face image is inputted,the non-frontal blocks corresponding to the selected frontal blocks are extracted and converted to the visual frontal blocks.The generated virtual frontal blocks are finally fed into the strong classifier constructed by AMLPP to realize accurate and efficient face recognition.Our algorithm is experimentally compared with other pose-invariant face recognition algorithms based on the Bosphorus database.The results show a significant improvement with our proposed algorithm.     

Blind Image Quality Assessment Based on Hybrid Fuzzy-Genetic Technique

A new method for no-reference image quality assessment based on hybrid fuzzy-genetic technique is proposed. Noise variance and edge sharpness level of the restored image are two basic metrics for assessing the performance of the restoration algorithm, then a fuzzy if-then inference system is developed to combine the two metrics to get a final quality score, and the parameters of the fuzzy membership function are trained with genetic algorithms. Experiments results show that the image quality score correlates well with mean opinion score and the proposed approach is robust and effective.     

面向3G的移动流媒体解决方案初探

对移动流媒体的概念和主流的Real Networks移动流媒体解决方案进行了分析,并结合3G标准和国内主要运营商的业务流程,提出了移动流媒体的可行性方案。     

基于遗传算法的二维熵法

图像分割方法中的二维熵法的计算时间较长.为了提高其计算效率,将遗传算法和二维熵法结合起来,同时考虑了孤立像素点的灰度信息和像素点的空间相关性,并对简单遗传算法的复制和交叉算子进行了改进,利用遗传算法高效快速的特点,克服了二维熵法的缺点.试验结果表明,本算法在保证分割质量的同时,提高了运算效率.     

新一代视频压缩标准H.264中数据的变换和量化

H.264协议是ITU-T和ISO标准化组织共同制定的新一代图像压缩标准。本文简要介绍了H.264协议的优点，详细分析了其中的变换与量化模块，包括变换的分类及原理，量化的过程。     

对混合高斯随机数参数估计矩方法的改进

用一般矩方法进行混合高斯随机敬的参数估计需要计算多个非线性方程,改进后的矩方法把非线性方程化成了线性方程。本文提供了它的公式推演过程以及实验结果。     

Novel Facial Features Segmentation Algorithm

An efficient algorithm for facial features extractions is proposed. The facial features we segment are the two eyes, nose and mouth. The algorithm is based on an improved Gabor wavelets edge detector, morphological approach to detect the face region and facial features regions, and an improved T-shape face mask to locate the extract location of facial features. The experimental results show that the proposed method is robust against facial expression, illumination, and can be also effective if the person wearing glasses, and so on.     

基于粒子滤波的无人机电视导引系统目标跟踪算法研究

为了实现直接攻击无人机的自动导引,设计了一种适用于小型攻击无人机的可见光电视导引系统,介绍了系统硬件构成。针对图像跟踪中的非线性滤波问题,采用了粒子滤波算法。在分析了粒子滤波算法中的退化现象后,设计了一种新的重采样算法。算法中样本的权值将直接决定这个样本是否应该被保留或者放弃,和这个样本以后的使用次数,权值大小的区分采用基于统计学分析的起始值。在粒子滤波的框架下,具体提出了一种基于粒子滤波的相关跟踪算法。算法仿真表明新的粒子滤波算法跟踪精度比以前的算法有较大提高。