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X-Ray Testing by computer vision

X-Ray Testing by Computer Vision

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Domingo Mery Department of Computer Science Pontificia Universidad Católica de Chile Santiago Chile

X-ray imaging has been developed not only for its use in medical imaging for human beings, but also for materials or objects, where the aim is to analyze (nondestructively) those inner parts that are undetectable to the naked eye. Thus, X-ray testing is used to determine if a test object deviates from a given set of specifications. Typical applications are analysis of food products, screening of baggage, inspection of automotive parts, and quality control of welds. In order to achieve efficient and effective X-ray testing, automated and semi-automated systems are being developed to execute this task. In this paper, we present a general overview of computer vision methodologies that have been used in X-ray testing. In addition, we review some techniques that have been applied in certain relevant applications, and we introduce a public database of X-ray images that can be used for testing and evaluation of image analysis and computer vision algorithms. Finally, we conclude that the following: that there are some areas -like casting inspection- where automated systems are very effective, and other application areas -such as baggage screening- where human inspection is still used, there are certain application areas -like weld and cargo inspections- where the process is semi-automatic, and there is some research in areas -including food analysis- where processes are beginning to be characterized by the use of X-ray imaging.

关键词： X-ray imaging Testing Three-dimensional displays Inspection Materials computer vision Welding

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Fitting Superellipses to Incomplete Contours

Fitting Superellipses to Incomplete Contours

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： M. Osian T. Tuytelaars L. Van Gool ESAT/PSI Katholieke Universiteit Leuven Belgium K. U. Leuven and ETH Zurich Belgium

Affine invariant regions have proved a powerful feature for object recognition and categorization. These features heavily rely on object textures rather than shapes, however. Typically, their shapes have been fixed to ellipses or parallelograms. The paper proposes a novel affine invariant region type, that is built up from a combination of fitted superellipses. These novel features have the advantage of offering a much wider range of shapes through the addition of a very limited number of shape parameters, with the traditional ellipses and parallelograms as subsets. The paper offers a solution for the robust fitting of superellipses to partial contours, which is a crucial step towards the implementation of the novel features.

关键词： Shape computer vision Object recognition Robustness Radio access networks Equations computer society pattern recognition conferences

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Mobile image search with multimodal context-aware queries

Mobile image search with multimodal context-aware queries

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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Xin Yang Sydney Pang K. T. Tim Cheng Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

The proliferation of camera-equipped mobile devices with enhanced mobile computing power and network connectivity results in a rising demand for mobile image search. Although image search has been studied extensively over the last few decades, most existing solutions are based on and optimized for desktop and server platforms, not for mobile devices. In this paper, we address some of the challenging issues unique in mobile search scenarios and suggest a list of potential solutions. As a case study, we design a mobile landmark image search system to evaluate the effectiveness of some proposed solutions. To enhance the mobile search experience, we propose a multimodal search scheme which uses both image content and user location to increase search precision and thus minimize network usage. We also suggest a post-search result pruning method designed to match the most relevant results to a user's search interests. Experiments conducted on our Landmark-450 image dataset demonstrate that the proposed methods can significantly increase the relevance of selected results in response to mobile image search while also reducing the amount of data transferred across the network.

关键词： Mobile computing Random access memory Feature extraction computer networks Broadband communication Power engineering computing Network servers Image analysis Algorithm design and analysis Smart phones

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Sensing Deforming and Moving Objects with Commercial Off the Shelf Hardware

Sensing Deforming and Moving Objects with Commercial Off the...

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Philip Fong F. Buron Department of Computer Science University of Stanford CA USA

In many application areas, there exists a crucial need for capturing 3D videos of fast moving and/or deforming objects. A 3D video is a sequence of 3D representations at high time and space resolution. Although many 3D sensing techniques are available, most cannot deal with dynamic scenes (e.g. laser scanning), can only deal with textured surfaces (e.g. stereo vision) and/or require expensive specialized hardware. This paper presents a technique to compute high-resolution range maps from single images of moving and deformable objects. A camera observes the deformation of a projected light pattern that combines a set of parallel colored stripes and a perpendicular set of sinusoidal intensity stripes. While the colored stripes allow recovering absolute depths at coarse resolution, the sinusoidal intensity stripes give dense relative depths. This twofold pattern makes it possible to extract a high-resolution range map from each image captured by the camera. This approach is based on sound mathematical principles, but its implementation requires giving great care to a number of low-level details. In particular, the sensor has been implemented using commercial off the shelf hardware, which distorts sensed and transmitted signals in many ways. A novel method was developed to characterize and compensate for distortions due to chromatic aberrations. The sensor has been tested on several moving and deforming objects.

关键词： Hardware Videos Cameras Sensor phenomena and characterization Layout Surface texture Surface emitting lasers Stereo vision Acoustic sensors Distortion

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Expression recognition with appearance-based features of facial landmarks 26

Expression recognition with appearance-based features of fac...

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26th ieee Signal Processing and Communications Applications conference, SIU 2018

作者： Özbey, Nuri Topal, Cihan Elektrik Ve Elektronik Mühendisliǧi Bölümü Anadolu Üniversitesi Eskişehir Turkey

ISBN: (纸本)9781538615010

The human face is the subject of many studies in the field of artificial vision because of the high amount of semantic information. The most common of the studies carried out in this area are face analysis and expression. Automatic face recognition is used in many applications such as human-computer interaction, behavior analysis and marketing. In this study, it is aimed to use appearance based features obtained from the landmarks for instant facial expression recognition. In the study, the local binary pattern (LBP) attributes obtained from the surrounding of the landmarks using active shape models are used. In order to find the most discriminating subset of the obtained attributes, the selection of the attributes has been applied for improve the recognition rate. It has been shown that the method proposed in experiments with 10-fold cross-validation with the Cohn-Kanade dataset (CK+) which is containing seven different expression classes achieves %89.71 success rate. © 2018 ieee.

关键词： Local binary pattern

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Sparse disparity map from uncalibrated infrared stereo images

Sparse disparity map from uncalibrated infrared stereo image...

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3rd Canadian conference on computer and Robot vision, CRV 2006

作者： Hajebi, Kiana Zelek, John S. Dept. of Systems Design Engineering University of Waterloo Waterloo Ont. N2L 3G1 Canada

ISBN: (纸本)0769525423

With the rapid growth in infrared sensor technology and its drastic cost reduction, the potential of application of these imaging technologies in computer vision systems has increased. One potential application for IR imaging is depth from stereo. It has been shown that the quality of uncooled sensors is not sufficient for generating dense depth maps. In this paper we investigate the production of sparse disparity maps for uncalibrated infrared stereo images, which necessitates a robust feature-based stereo matching technique capable of dealing with the problems of infrared images, such as low resolution and high noise. Initially, a set of stable and tractable features are extracted from stereo pairs using the phase congruency model. Then, a set of Log-Gabor wavelet coefficients in different orientations and frequencies are used to analyze and describe the extracted features for matching. Finally, epipolar geometrical constraints are employed to refine the matching results. Experiments on a set of IR stereo pairs validate the robustness of our technique. © 2006 ieee.

关键词： Stereo vision

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Online learning for attention, recognition, and tracking by a single developmental framework

Online learning for attention, recognition, and tracking by ...

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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Juyang Weng Matthew Luciw Department of Computer Science and Engineering Michigan State University USA

It is likely that human-level online learning for vision will require a brain-like developmental model. We present a general purpose model, called the Self-Aware and Self-Effecting (SASE) model, characterized by internal sensation and action. Rooted in the biological genomic equivalence principle, this model is a general-purpose cell-centered in-place learning scheme to handle different levels of development and operation, from the cell level all the way to the brain level. It is unknown how the brain self-organizes its internal wiring without a holistically-aware central controller. How does the brain develop internal object representations? How do such representations enable tightly intertwined attention and recognition in the presence of complex backgrounds? Internally in SASE, local neural learning uses only the co-firing between the pre-synaptic and post-synaptic activities. Such a two-way representation automatically boosts action-relevant components in the sensory inputs (e.g., foreground vs. background) by increasing the chance of only action-related feature detectors to win in competition. It enables develop in a “skull-closed” fashion. We discuss SASE networks called Where-What networks (WWN) for the open problem of general purpose online attention and recognition with complex backgrounds. In WWN, desired invariance and specificity emerge at each of the what and where motor ends without an internal master map. WWN allows both type-based top-down attention and location-based top-down attention, to attend and recognize individual objects from complex backgrounds (which may include other objects). It is proposed that WWN deals with any real-world foreground objects and any complex backgrounds.

关键词： Biological system modeling Brain modeling Genomics Bioinformatics Cells (biology) Wiring Centralized control Automatic control computer vision Detectors

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Research on the Web information system development platform based on MVC design pattern

Research on the Web information system development platform ...

引用

2008 ieee/WIC/ACM International conference on Web Intelligence and Intelligent Agent Technology - workshops, WI-IAT workshops 2008

作者： Ning, Wang Liming, Li Yanzhang, Wang Yi-Bing, Wang Jing, Wang Management School Dalian University of Technology Dalian Liaoning Province China

ISBN: (纸本)9780769534961

In order to make the Web information system development more efficient, improving the reusability, stability and scalability of system, features of a Web information system development are studied. A Web information system development platform adapting to operational requests and achieving quick development based on MVC design pattern is constructed. After introducing the platform's framework system, the design and realization of its main parts, design philosophy and basic framework of the platform are given, integrating application examples. © 2008 ieee.

关键词： Reusability

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Categorization in natural time-varying image sequences

Categorization in natural time-varying image sequences

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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Teresa Ko Stefano Soatto Deborah Estrin Vision Laboratory University of California Los Angeles Los Angeles CA USA

Approaches to single image categorization do not easily generalize to natural time-varying image sequences. In natural environments, object categories tend to have few features that help to distinguish between each other and the surrounding environment. To better discriminate between categories and the surrounding environment, we propose a multi-view categorization approach that exploits the statistics of image sequences rather than single images. The approach is unbiased towards redundant views - that is, it does not matter how many times an object appears from the same viewpoint. At the same time, the approach does not penalize for missing views, so that we do not have to capture an object at all viewpoints to successfully categorize the object. We first present a data set for studying natural environment monitoring: an image sequence of birds at a feeder station. After manual localization, a baseline bag of features approach was found to perform significantly worse on the proposed data set compared to the standard Caltech 101 data set. We find that our approach increases the categorization accuracy from 48% to 58% on average when compared to an equivalent single view categorization method. Finally, we show how the same metric proposed for the supervised categorization can be used to transform, in an unsupervised manner, an image sequence into a manageable set of categories.

关键词： Image sequences Monitoring Birds Surveillance Histograms Face detection Spatial resolution Testing Statistics Costs

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Making any planar surface into a touch-sensitive display by a mere projector and camera

Making any planar surface into a touch-sensitive display by ...

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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Jingwen Dai Ronald Chung Department of Mechanical and Automation Engineering Chinese University of Hong Kong Sha Tin New Territories Hong Kong China

We address how an HCI (Human-computer Interface) with small device size, large display, and touch input facility can be made possible by a mere projector and camera. The realization is through the use of a properly embedded structured light sensing scheme that enables a regular light-colored table surface to serve the dual roles of both a projection screen and a touch-sensitive display surface. A random binary pattern is employed to code structured light in pixel accuracy, which is embedded into the regular projection display in a way that the user perceives only regular display but not the structured pattern hidden in the display. With the projection display on the table surface being imaged by a camera, the observed image data, plus the known projection content, can work together to probe the 3D world immediately above the table surface, like deciding if there is a finger present and if the finger touches the table surface, and if so at what position of the table surface the finger tip makes the contact. All the decisions hinge upon a careful calibration of the projector-camera-table surface system, intelligent segmentation of the hand in the image data, and exploitation of the homography mapping existing between the projector's display panel and the camera's image plane. Extensive experimentation including evaluation of the display quality, touch detection accuracy, and system efficiency are shown to illustrate the feasibility of the proposed realization.

关键词： Cameras Encoding Image color analysis Arrays Sensors Image segmentation Human computer interaction

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