基于感知编组的高层建筑物立面提取方法

将感知编组理论引入到遥感影像上高层建筑物立面的提取中,依据感知编组的邻近性、连接性和封闭性等规则,提出了一种基于感知编组的遥感影像上高层建筑物立面的提取算法,该算法包括边缘提取、边缘数据分块、块内感知编组提取建筑物立面、建筑物立面提取结果融合等步骤.实验验证了该方法的有效性.     

感知编组综述

回顾了感知编组技术的历史,并对其原理、步骤、需要解决的问题和分类进行了系统详尽的总结,对近几年用的较多的编组机制的方法进行了介绍,并论述了感知编组技术在目标识别中的应用。最后对感知编组技术中的研究热点和感知编组的应用领域发展趋势作出了展望。     

基于数学形态学和相位编组SAR影像道路自动提取

某些对光学图像有很好效果的边缘检测算子,对于SAR图像来说,由于其固有的斑点噪声的强烈影响,效果不佳.为了从SAR图像上提取线特征,利用局部线特征检测线基元,为此本文提出一种改进的基于图像统计信息的局部线特征检测方法,然后使用数学形态学去除内部空隙并细化得到道路段,将道路段进行相位编组,进而自动提取出道路.     

特征融合的多时相遥感图像道路提取方法

为了提高单时相遥感图像道路提取的准确度，提出一种基于特征融合的道路提取方法。首先，提取已配准好的多时相SPOT图像直线段特征和角点特征，然后，对得到的特征进行融合判断，从特征融合结果中提取近似平行线，最后进行道路拟合。本文对相位编组道路段提取方法进行了改进，引入基于灰度SUSAN的角点特征信息，提高了道路段提取的准确性。文章最后给出了实验结果。     

Gauss比较函数与复杂遥感图像中线状目标的无偏自动检测

建立基于 Gauss 尺度空间的比较函数,对遥感图像中的道路结构进行特征描述、分离和定位.在此基础上,结合道路特征的图形和图像特征,提出了基于局部方向能量的线状目标检测算法,并根据道路的拓扑特征和几何特征进行假设验证、编组、融合,提取有效的道路线特征,应用于城市遥感图像中不同宽度和材质的主干道路和小路的提取.该算法计算复杂度小,在阴影遮挡和道路影像不明显的情况下对道路线特征具有良好的分辨能力.对 Gauss比较函数的定位和抗零点漂移性能也进行了详细的分析.     

基于视觉组织的封闭轮廓编组模型研究

模拟视觉组织获取轮廓的研究多基于局部视觉编组线索,使得编组线索在视觉上缺乏完整性.为此提出一种具有全局约束的层次编组模型.首先,自适应尺度小波检测图像边缘,显著性重要边缘作为轮廓编组候选集.其次,根据视觉编组规则特性提出层次编组模型 ,用格式塔规则如对称性和平行性作为全局线索指导格式塔规则如接近性、连续性、共线性及共曲线性等编组线索完成轮廓编组,获取符合视觉特性的轮廓.实验表明该模型在不损失视觉合理性的同时减少了编组的二义性,增强了算法的效率和健壮性.     

平行四边形的逐级抽象感知提取算法

提出了一种将感知编组应用于平行四边形提取的算法。该算法利用逐级抽象感知的思想，在基于part的形状表达的基础上，使用不确定性推理，达到了结构清晰简单、计算量小、抗噪能力强的效果。实验表明，该算法是一种有效的平行四边形提取算法。     

基于相位编组的高分辨率遥感影像道路信息提取

从高分辨率遥感影像中提取道路信息已有许多研究,但仍存在许多问题有待解决.本文主要研究高分辨率遥感影像上城市道路信息的提取,从四个方面开展,即:遥感影像的预处理、阀值的确定、直线与曲线的提取以及道路信患在原图上的显示.传统的相位编组方法主要针对直线的提取,本文对其进行了改进,得到了一种基于相位编组的半自动提取道路信息的方法.实验中首先结合灰度形态学与Canny算子,得出信息较全的道路边缘轮廓信息,然后根据不同形状的道路模型,运用灰度值参数对相位编组法进行改进,提取出比较准确的道路信息.针对现代城市中常见的立交桥,特别是对其曲率较大的中心部分信患,该提取方法表现出了一定的优越性和适用性,实验结果较为理想.     

高分辨率遥感影像中提取复杂道路的新方法

从遥感影像中提取具有弱边缘线的道路具有相当大的难度,在综合了相位编组和动态规划两种原理的记错上,提出了针对这一问题的新方法。首先借鉴相位编组原理形成边缘线支持区并对其进行连接;然后利用动态规划方法从支持区中检测出边缘线并对这些线进行平滑;最后连接由边缘线构成的道路段,得出道路提取结果。实验表明,该方法可以较好地提取出无清晰连续边缘线的道路,对于边缘对比度较大的道路则可取得更为令人满意的结果。     

基于双视线特征感知编组的影像匹配方法

与点特征相比,高级别的特征,特别是自由形状线特征包含了更加丰富的信息,这对于其后的影像解译和表面重建等处理是更为有利的。针对传统自由形状线特征匹配方法的弊端——匹配成功的线特征数量较少,引入了感知编组理论,提出了一种基于双视线特征感知编组的影像匹配方法。实验证明该方法不仅可以提高成功匹配的自由形状线特征数量,还可增加自由形状线特征的长度,方便后续人工地物（如建筑物）的提取。     

基于矩阵分解的感知兴趣点智能推荐算法仿真

针对当前算法推荐结果与用户感知兴趣点拟合度低,导致推荐可信度低的问题,提出基于矩阵分解的感知兴趣点智能推荐算法。先在典型的社会网络中,对感知兴趣点推荐问题进行描述;建立感知兴趣点模型,构建用户范围矩阵和感知兴趣点的影响力矩阵,提取出用户对不同感知兴趣点的偏好,随后计算感知兴趣点在不同区域中的影响力,并修正感知兴趣点影响力函数,通过对其权重的计算,获取用户对感知兴趣点的访问次数、时间的总和以及感知兴趣点集合。最后计算感知兴趣点智能推荐时间的复杂度,利用矩阵分解思想最终实现了对感知兴趣点的智能推荐。实验结果表明,提出的算法的推荐结果与用户感知兴趣点的拟合度较高,并且感知兴趣点的推荐可信度也较高,验证了提出算法的有效性。     

Perceptual image preview

Image preview is a convenient way to browse large or multiple images on small displays. However, current signal-level image resampling algorithms may remove many features of interest in the preview image. In this paper, we propose perceptual image preview which retains more perceptual features such that users can inspect features of interest by viewing the preview image only and without zooming in. This technology has two components, structure enhancement and perceptual feature visualization. Structure enhancement enhances the image structure while suppressing subtle details using a gradient modulation method, thus making the succedent perceptual features more apparent. For perceptual feature visualization, features of interest detected in the picture is visualized on the structure enhanced preview image. We demonstrate with two examples of most commonly used image quality features, image blur and noise. The effectiveness of the proposed method is validated by experimental results.     

一种基于GPS轨迹的道路拓扑生成方法

复杂路网拓扑的自动生成建立在道路提取和交叉路口识别的基础之上,是智能交通控制和自动导航服务等领域的研究热点之一,基于浮动车或出租车的GPS轨迹可以反映交通路网的拓扑结构。为此,提出了一种基于GPS轨迹的道路拓扑生成方法,即在无道路地图辅助的情况下,该方法基于大规模GPS轨迹,能够快速提取路口交叉点,自动构建具有地理位置信息的拓扑结构和计算相邻路口的网络距离。实验结果表明,该方法能够提取出各个道路交叉点并建立各点之间的拓扑关系。在提取主干道路拓扑实验中,在设置路宽为55米的情况下提取路口交叉点的正确率达到了87.08%,各路口之间的平均网络距离误差率为8.87%,并且能够正确地得到交叉点之间的连通关系。     

基于特征深度学习的机器人协调操作感知控制

为了在操作者与机器人之间实现更为稳定的负载运动状态,提出一种基于特征深度学习的机器人协调操作感知控制方法,分析机器人的协调操作原理,根据虚拟阻尼、虚拟惯量与虚拟刚度系数,构建人机协调操作模型,利用特征深度学习对模型内的神经网络进行网络信息的交互拓扑,优化机器人协调操作的感知性能.同时,减少内存占比,对人力交互信息滤波去...     

面向主观质量的视频传输编码参数的选择

在视频传输中有两个重要的问题需要解决:1)在已知网络带宽以及丢包率的情况下如何分配信源和信道的编码速率;2)在信源编码速率限定的条件下如何选择编码的参数。针对问题2),分析了现有的主观质量模型VQMTQ,选择VQMTQ作为视频主观质量评价的指标。联合码率模型在给定目标码率时能够选择最佳的编码参数,使得编码后的视频主观质量尽可能高。该研究对于实际应用具有重要价值,保障了人眼的主观感受。     

Induction operators for a computational colour–texture representation

The aim of this paper is to outline a perceptual approach to a computational colour–texture representation based on some colour induction phenomena. The extension of classical grey level methods for texture processing to the RGB channels of the corresponding colour texture is not the best solution to simulate human perception. Chromatic induction mechanisms of the human visual system, that has been widely studied in psychophysics, play an important role when looking at scenes where the spatial frequency is high as it occurs on texture images. Besides others, chromatic induction includes two complementary effects: chromatic assimilation and chromatic contrast. While the former has been measured by Wandell and Zhang [A spatial extension of CIELAB for digital colour image reproduction, in: SID, 1996] and extended to computer vision by Petrou et al. [Perceptual smoothing and segmentation of colour textures, in: 5th European Conference on Computer Vision, Freiburg, Germany, 1998, pp. 623] as a perceptual blurring, some aspects on the last one still remain to be measured, but it has to be a computational operator that simulates the contrast induction phenomenon performing a perceptual sharpening that preserves the structural properties of the texture. Applying both, the perceptual sharpening and the perceptual blurring, we propose to build a tower of images as an induction front-end that can be the basis of a perceptual representation of colour–textures.     

A neural network approach to audio data hiding based on perceptual masking model of the human auditory system

A new system that employs artificial neural networks to identify perceptually masked transmission opportunities within an audio stream is presented. The neural network is trained to automatically extract the perceptual map of the human auditory system. The network is then used at the encoding end to identify opportunities for transmission of inaudible data into the voice stream. At the decoding end, the network is used to monitor the audio channel for presence of masked data. Increased data transmission rates, resistance to compression algorithms and increased processing gains are among the advantages of the proposed solution.     

A Model of Perceptual Task Effort for Bar Charts and its Role in Recognizing Intention

This paper presents a model of perceptual task effort for use in hypothesizing the message that a bar chart is intended to convey. It presents our rules, based on research by cognitive psychologists, for estimating perceptual task effort, and discusses the results of an eye tracking experiment that demonstrates the validity of our model. These rules comprise a model that captures the relative difficulty that a viewer would have performing one perceptual task versus another on a specific bar chart. The paper outlines the role of our model of relative perceptual task effort in recognizing the intended message of an information graphic. Potential applications of this work include using this message to provide (1) a more complete representation of the content of the document to be used for searching and indexing in digital libraries, and (2) alternative access to the information graphic for visually impaired users or users of low-bandwidth environments.     

Task performance in heat: a review

A wide array of variable conditions, tasks, subject populations, etc., have been included in studies that have produced data on perceptual motor performance in the heat. This paper uses a methodology for comparing these studies, regardless of the inherent differences, which allows determination of whether thermal effects are dominant enough to persist through diverse combinations of variables. Approximately 160 individual studies of perceptual motor performance reported in the literature were summarized based on thermal level, duration of exposure and the type of task performed. Results indicated no dominant effect of duration of exposure to the heat and no dominant effect of thermal level on mental/cognitive tasks. For perceptual motor tasks other than very simple or mental tasks, an onset of performance decrement was noted in the 30-33°C WBGT range of temperature. This temperature level is consistent with the Recommended Exposure Limits for work in the heat at low levels of metabolic heat.