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2011 Western New York Image Processing Workshop最新文献

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Engineered phase window for extended depth of focus 工程相窗扩展聚焦深度
Pub Date : 2011-11-01 DOI: 10.1109/WNYIPW.2011.6122884
K. Adelsberger, J. Zavislan
Wavefront coding is successful at decreasing the focus dependence of an optical system. These systems require image processing and additional optical surfaces. We develop a phase surface placed near the image plane to engineer the point spread function into a similar shape. The resulting system contains a beam shaping optic that utilizes the already-present detector window and provides more flexibility to enhance resolution in systems that are inherently aberrated.
波前编码在降低光学系统对焦依赖性方面是成功的。这些系统需要图像处理和额外的光学表面。我们开发了一个放置在图像平面附近的相位表面,以将点扩展函数设计成类似的形状。由此产生的系统包含一个光束整形光学,它利用了已经存在的探测器窗口,并提供了更大的灵活性,以提高固有像差系统的分辨率。
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引用次数: 0
Interactive display using depth and RGB sensors for face and gesture control 使用深度和RGB传感器进行面部和手势控制的交互式显示
Pub Date : 2011-11-01 DOI: 10.1109/WNYIPW.2011.6122883
Colin P. Bellmore, R. Ptucha, A. Savakis
This paper introduces an interactive display system guided by a human observer's gesture, facial pose, and facial expression. The Kinect depth sensor is used to detect and track an observer's skeletal joints while the RGB camera is used for detailed facial analysis. The display consists of active regions that the observer can manipulate with body gestures and secluded regions that are activated through head pose and facial expression. The observer receives realtime feedback allowing for intuitive navigation of the interface. A storefront interactive display was created and feedback was collected from over one hundred subjects. Promising results demonstrate the potential of the proposed approach for human-computer interaction applications.
本文介绍了一种由人类观察者的手势、面部姿势和面部表情引导的交互式显示系统。Kinect深度传感器用于检测和跟踪观察者的骨骼关节,而RGB摄像头用于详细的面部分析。该显示器由观察者可以通过身体手势操纵的活跃区域和通过头部姿势和面部表情激活的隐蔽区域组成。观察者接收实时反馈,允许直观的界面导航。创建了一个店面互动展示,并收集了来自100多个主题的反馈。有希望的结果证明了所提出的方法在人机交互应用中的潜力。
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引用次数: 24
Adaptive Order-Statistic Filters for optimal non-Gaussian noise suppression 最优非高斯噪声抑制的自适应序统计滤波器
Pub Date : 2011-11-01 DOI: 10.1109/WNYIPW.2011.6122886
M. Fernández
This paper presents an adaptive Order-Statistic Filter (OSF) that maximizes the gain in image SNR. In particular, this distribution-independent non-linear filter approximates the optimal filter when the noise is not Gaussian (e.g., speckle-type clutter, Gamma noise, etc.). Simulation results quantitatively demonstrate the superior performance of the adaptive OSF over popular linear and non-linear alternatives in the presence of non-Gaussian noise.
本文提出了一种使图像信噪比增益最大化的自适应序统计滤波器(OSF)。特别是,这种与分布无关的非线性滤波器在噪声不是高斯的情况下近似于最优滤波器(例如,散斑型杂波,伽马噪声等)。仿真结果定量地证明了自适应OSF在非高斯噪声存在下优于常用的线性和非线性替代方法的性能。
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引用次数: 0
Attitude determination using a photon counting star tracker 使用光子计数星跟踪器确定姿态
Pub Date : 2011-11-01 DOI: 10.1109/WNYIPW.2011.6122885
Michael D'Angelo, R. Linares
This paper describes a path toward the development of theory for using a photon counting camera as a star tracker for spacecraft attitude estimation. The benefit of using a photon counting camera is that star data can be sampled at a faster rate while allowing one to measure very dim stars, increasing the number of stars available for attitude estimation. The development of a noise model is discussed and an algorithm to process raw data is shown. An attitude estimation method is discussed and simulated data is shown. A simulated star tracker for attitude estimation is shown and attitude estimation results are shown.
本文描述了利用光子计数相机作为航天器姿态估计星跟踪器的理论发展路径。使用光子计数相机的好处是可以以更快的速度对恒星数据进行采样,同时允许测量非常暗淡的恒星,增加可用来估计姿态的恒星数量。讨论了噪声模型的发展,并给出了处理原始数据的算法。讨论了一种姿态估计方法,并给出了仿真数据。给出了一种用于姿态估计的模拟星跟踪器,并给出了姿态估计结果。
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引用次数: 3
Unsupervised learning of video content using Self-Organizing Maps 使用自组织地图的视频内容无监督学习
Pub Date : 2011-11-01 DOI: 10.1109/WNYIPW.2011.6122882
R. Gaborski, Yuheng Wang
Video classification and retrieval is currently performed manually by individuals adding semantic annotation or creating a description of the videos. Current algorithmic methods often suffer from semantic gap between visual content and human interpretation. This paper proposes a biologically inspired system that automatically cluster videos based on visual attributes. For feature extraction, each video frame is processed with a multi-scale, multi-orientation Gabor filter. The resulting Gabor-filtered sub-band images are down-sampled on a regular grid to achieve global representation of the image. For clustering, the system employs an unsupervised, adaptive algorithm, the Self-Organizing Map, resulting in the automatic discovery of video content. SOM's are single layer, two-dimensional neural networks that use the delta update rule and competition based on-line learning scheme to learn internal relationship of input data without supervision. The baseline framework is deployed and evaluated using a small dataset. Initial system results reveal effective mapping of input video frames and topological regions on SOM.
目前,视频分类和检索是由个人手动添加语义注释或创建视频描述来完成的。目前的算法方法往往存在视觉内容与人类解释之间的语义差距。本文提出了一种基于视觉属性自动聚类视频的生物启发系统。对于特征提取,每个视频帧都使用多尺度、多方向Gabor滤波器进行处理。在规则网格上对经过gabor滤波的子带图像进行下采样,以实现图像的全局表示。对于聚类,系统采用了一种无监督的自适应算法,即自组织地图,从而自动发现视频内容。SOM是单层二维神经网络,它使用增量更新规则和基于竞争的在线学习方案来学习输入数据的内部关系,而无需监督。使用小型数据集部署和评估基线框架。初步的系统结果显示输入视频帧和拓扑区域在SOM上的有效映射。
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引用次数: 2
Block-sorting transformations with pseudo-distance technique for lossless compression of color-mapped images 基于伪距离技术的彩色映射图像无损压缩分块排序变换
Pub Date : 2011-11-01 DOI: 10.1109/WNYIPW.2011.6122887
B. Koc, Z. Arnavut
Color-mapped images are widely used in many applications, especially in WWW, and are usually compressed with Graphic Interchange Format (GIF) without any loss. In our recent work, we showed that further compression gains can be achieved for color-mapped images over GIF when a structured arithmetic coder is used along with the pseudo-distance metric, instead of a Huffman coder as suggested by others. In this work, we show that further compression gains are possible when block-sorting transformations are employed along with the pseudo-distance technique.
彩色映射图像广泛应用于许多应用程序中,特别是在WWW中,并且通常使用图形交换格式(GIF)进行压缩而不会有任何损失。在我们最近的工作中,我们表明,当使用结构化算术编码器和伪距离度量一起使用时,而不是像其他人建议的那样使用霍夫曼编码器,可以进一步压缩GIF上的彩色映射图像。在这项工作中,我们表明,当块排序转换与伪距离技术一起使用时,进一步的压缩增益是可能的。
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引用次数: 4
Front back 前回
Pub Date : 1900-01-01 DOI: 10.4324/9780080454504
W. Freeman
Graduate students wishing to do research in areas within the purview of image processing can pursue doctorates in a variety of programs, including electrical engineering, bio-medical engineering, computer engineering, computer science, imaging science, and applied mathematics. Each of these programs has a distinct focus and provides PhD recipients with different skill sets. Panelists will discuss the aims of these programs and how their goals align with the requirements and objectives for different research careers in industry and academia. Panelists will also describe their perspectives on the key values and skills necessary for a successful career in research. The roles of academia, industrial research organizations, and professional associations such as IEEE and IS&T towards furthering research in the community will also be discussed. Panelists: 1) Dr. Nancy Ferris, Director of Eastman Kodak Research Labs. 2) Dr. Robert R. Buckley, NewMarket Imaging and Univ. of Rochester (former Xerox Research Fellow). 3) Prof. Gaurav Sharma, Dept. of Electrical Eng. at Univ. of Rochester. 4) Prof. Reneta Barneva, Chair of Dept. of Computer Science at SUNY Fredonia. 5) Prof. Jiebo Luo, Dept. of Computer Science at Univ. of Rochester. 6) Dr. Robert D. Fiete, Chief Technologist at ITT Geospatial Systems.
希望在图像处理领域进行研究的研究生可以攻读各种专业的博士学位,包括电气工程、生物医学工程、计算机工程、计算机科学、成像科学和应用数学。每个项目都有不同的重点,并为博士学位获得者提供不同的技能。小组成员将讨论这些项目的目的,以及他们的目标如何与工业和学术界不同研究职业的要求和目标相一致。小组成员还将描述他们对成功的研究事业所必需的关键价值观和技能的看法。会议还将讨论学术界、工业研究组织和专业协会(如IEEE和IS&T)对社区进一步研究的作用。小组成员:1)伊士曼柯达研究实验室主任Nancy Ferris博士2)Robert R. Buckley博士,NewMarket Imaging和罗切斯特大学(前施乐研究员)3)高拉夫·夏尔马教授,电气工程系4)纽约州立大学弗雷多尼亚分校计算机科学系主任Reneta Barneva教授,5)罗切斯特大学计算机科学系主任Jiebo Luo教授,6)ITT地理空间系统首席技术专家Robert D. Fiete博士。
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引用次数: 2
期刊
2011 Western New York Image Processing Workshop
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