2010 Western New York Image Processing Workshop

5-5 Nov. 2010

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Displaying Results 1 - 25 of 26
  • [Title page]

    Publication Year: 2010, Page(s): i
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  • [Copyright notice]

    Publication Year: 2010, Page(s): ii
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  • Welcome message

    Publication Year: 2010, Page(s): iii
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  • Organizing Committee

    Publication Year: 2010, Page(s): 1
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  • Plenary talk unconventional imaging for remote sensing applications

    Publication Year: 2010, Page(s): vi
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  • Plenary talk solving linear inverse systems with graphcuts

    Publication Year: 2010, Page(s): v
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  • Table of contents

    Publication Year: 2010, Page(s): vi
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  • Applying computer vision techniques to perform semi-automated analytical photogrammetry

    Publication Year: 2010, Page(s):1 - 5
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (2793 KB) | HTML iconHTML

    The purpose of this research is to show how common computer vision techniques can be implemented in such a way that it is possible to automate the process of analytical photogram-metry. This work develops a workflow that generates a sparse three-dimensional point cloud from a bundle of images using SIFT, RANSAC, and a sparse bundle adjustment along with basic photogrammetric methods. It then goes ... View full abstract»

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  • Calibration of a multi-projector system for display on a cylindrical surface

    Publication Year: 2010, Page(s):6 - 9
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (2616 KB) | HTML iconHTML

    In this paper we present a method for geometrically, photometrically & colorimetrically calibrating a multi-projector system for display on a cylindrical surface. Using a single camera we reconstruct the 3D surface of the display and determine the projector-screen relationship to accurately register projected images. Given these relationships, we apply chrominance gamut morphing in the ove... View full abstract»

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  • Tree-metrics graph cuts for brain MRI segmentation with tree cutting

    Publication Year: 2010, Page(s):10 - 13
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1397 KB) | HTML iconHTML

    We tackle the problem of brain MRI image segmentation using the tree-metric graph cuts (TM) algorithm, a novel image segmentation algorithm, and introduce a “tree-cutting” method to interpret the labeling returned by the TM algorithm as tissue classification for the input brain MRI image. The approach has three steps: 1) pre-processing, which generates a tree of labels as input to the TM algorithm... View full abstract»

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  • Propagating multi-class pixel labels throughout video frames

    Publication Year: 2010, Page(s):14 - 17
    Cited by:  Papers (37)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (3318 KB) | HTML iconHTML

    The effective propagation of pixel labels through the spatial and temporal domains is vital to many computer vision and multimedia problems, yet little attention have been paid to the temporal/video domain propagation in the past. Previous video label propagation algorithms largely avoided the use of dense optical flow estimation due to their computational costs and inaccuracies, and relied heavil... View full abstract»

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  • A HVS-driven image segmentation framework using a local segmentation performance measure

    Publication Year: 2010, Page(s):18 - 21
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (285 KB) | HTML iconHTML

    This paper presents a novel framework for image segmentation. In this framework, image segmentation is considered to be a detection problem, and a “soft” segmentation objective function, in terms of the detection performance measure in local regions, is employed to guide the segmentation procedure. The human visual system information is also incorporated into the segmentation procedure to improve ... View full abstract»

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  • A framework for object class recognition with no visual examples

    Publication Year: 2010, Page(s):22 - 25
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (305 KB) | HTML iconHTML

    Traditional approaches in object class recognition utilize a large number of labeled visual examples in order to train classifiers to recognize the category of an object in a test image. However, the need for a large number of training data makes the scalability of this approach problematic. In this paper, we explore the recently proposed paradigm of attribute based category recognition for object... View full abstract»

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  • A euclidean distance transformation for improved anomaly detection in spectral imagery

    Publication Year: 2010, Page(s):26 - 29
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (236 KB) | HTML iconHTML

    Remotely sensed spectral imagery is used in many disciplines, including environmental monitoring, agricultural health, defense and security applications, astronomy, medical imaging, and food quality assessment. The basic tasks performed within any of these fields are target or anomaly detection, classification or clustering, change detection, and physical parameter estimation. Hyperspectral image ... View full abstract»

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  • Advanced situational awareness and obstacle detection using a monocular camera

    Publication Year: 2010, Page(s):30 - 33
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (576 KB) | HTML iconHTML

    This paper presents a modular approach for a high resolution monocular camera based system to detect, track, and display potential obstacles and navigational threats to soldiers and operators for manned and unmanned ground vehicles. This approach enhances situational awareness by integrating obstacle detection and motion tracking algorithms with virtual pan-zoom-tilt (VPZT) techniques, enabling so... View full abstract»

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  • Jab to RGB multidimensional lookup tables

    Publication Year: 2010, Page(s):34 - 37
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (277 KB) | HTML iconHTML

    The CIECAM color appearance space (Jab) is widely used in color science. The relationship between XYZ and Jab is defined by a set of equations. For ease of computation and architectural flexibility, it is desirable to implement these relationships in multi-dimensional lookup table form. Unfortunately, for some colors just outside the sRgb gamut, these equations give complex numbers. Furthermore, t... View full abstract»

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  • Print engine color management using customer image content

    Publication Year: 2010, Page(s):38 - 41
    Cited by:  Patents (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1138 KB) | HTML iconHTML

    The production of quality color prints requires that color accuracy and reproducibility be maintained to within very tight tolerances when transferred to different media. Variations in the printing process commonly produce color shifts that result in poor color reproduction. The primary function of a color management system is maintaining color quality and consistency. Currently these systems are ... View full abstract»

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  • Anchor point selection by KL-divergence

    Publication Year: 2010, Page(s):42 - 45
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    Selecting anchor points for the identification of scanned documents can be an effective and quick means of identifying unknown documents. Here, we discuss and compare some strategies for classification of scanned forms using anchor points and show experiments indicating that a robust system can be built with only a few training examples. View full abstract»

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  • Boosting with stereo features for building facade detection on mobile platforms

    Publication Year: 2010, Page(s):46 - 49
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (2354 KB) | HTML iconHTML

    Boosting has been widely used for discriminative modeling of objects in images. Conventionally, pixel- and patch-based features have been used, but recently, features defined on multilevel aggregate regions were incorporated into the boosting framework, and demonstrated significant improvement in object labeling tasks. In this paper, we further extend the boosting on multilevel aggregates method t... View full abstract»

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  • Determining camera pose using free-form lines

    Publication Year: 2010, Page(s):50 - 53
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (246 KB) | HTML iconHTML

    Determining pose or exterior orientation of a camera is an important step in surface reconstruction and subsequent steps such as perceptual organization and object recognition in photogrammetry or computer vision. Pose refers to position and attitude of a perspective camera at the time of exposure. It is generally determined using a set of points in object space and image space. Using free-form li... View full abstract»

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  • Development of a web-based blind test to score and rank hyperspectral classification algorithms

    Publication Year: 2010, Page(s):54 - 57
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (534 KB) | HTML iconHTML

    Remotely sensed hyperspectral imagery plays an important role in land cover classification by supplying the user with additional spectral data as compared to high-resolution color imagery. The web application described in this paper enables users to test their classification algorithms without the risk of bias by withholding the majority of the true classification data and only providing a small s... View full abstract»

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  • Hierarchical image clustering for analyzing eye tracking videos

    Publication Year: 2010, Page(s):58 - 61
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (612 KB) | HTML iconHTML

    The classification of a large number of images is a familiar problem to the image processing community. It occurs in consumer photography, bioinformatics, biomedical imaging, surveillance, and in the field of mobile eye-tracking studies. During eye-tracking studies, what a person looks at is recorded, and for each frame what the person looked at must then be analyzed and classified. In many cases ... View full abstract»

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  • Human-centric approaches to image understanding and retrieval

    Publication Year: 2010, Page(s):62 - 65
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (3532 KB) | HTML iconHTML

    The amount of digital medical image data is increasing rapidly in terms of both quantity and heterogeneity. There exists a great need to format medical image archives so as to facilitate diagnostics and preventive medicine. To achieve this, in the past few decades great efforts have been made to investigate methods of applying content-based image retrieval (CBIR) techniques to retrieve images. How... View full abstract»

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  • Utilizing the graph modularity to blind cluster multispectral satellite imagery

    Publication Year: 2010, Page(s):66 - 69
    Cited by:  Papers (5)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1111 KB) | HTML iconHTML

    The fully automatic separation of spectral image data into clusters is a problem with a wide variety of desired and potential solutions. Contrary to the typical approaches of utilizing the first order statistics and Gaussian modeling of spectral image data, the method described in this paper utilizes the spectral data structure to generate a graph representation of the image and then clusters the ... View full abstract»

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  • Quality versus intelligibility: Studying human preferences for american sign language video

    Publication Year: 2010, Page(s):70 - 73
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (190 KB) | HTML iconHTML

    Real-time videoconferencing using cellular devices provides natural communication to the Deaf community. For this application, compressed American Sign Language (ASL) video must be evaluated in terms of the intelligibility of the conversation and not in terms of the overall aesthetic quality of the video. This work conducts an experiment to determine the subjective preferences of ASL users in term... View full abstract»

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