NASA Technical Reports Server (Ntrs) 19900020475: Force/Torque and Tactile Sensors for Sensor-Based Manipulator Control by NASA Technical Reports Server (Ntrs); NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 19900020475: Force/Torque and Tactile Sensors for Sensor-Based Manipulator Control by NASA Technical Reports Server (Ntrs); NASA Technical Reports Server (Ntrs); published by
Dtic Ada038700: the Automatic Sensing and Analysis of 3-D Surface Points from Visual Scenes by Defense Technical Information Center; Defense Technical Information Center; published by
Dtic Ada038700: the Automatic Sensing and Analysis of 3-D Surface Points from Visual Scenes by Defense Technical Information Center; Defense Technical Information Center; published by
This paper focuses on the effective reducing of operating costs in the Smart Home Care system. The applied developed system components are designed for seniors auxiliary monitoring of the energy consumption. The paper...
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This paper focuses on the effective reducing of operating costs in the Smart Home Care system. The applied developed system components are designed for seniors auxiliary monitoring of the energy consumption. The paper describes the solution of information processing about quantity of the consumed electric and heat energy, gas and water consumption by using of the advanced system for consumption meters with recognition of video camera signal in the Smart Home Care monitoring system. The concept structure and principles of energy monitoring are designed with developed advanced electronic components, which are realized and verified for industry and commerce sphere.
image segmentation is a key component in many computer vision systems, and it is recovering a prominent spot in the literature as methods improve and overcome their limitations. The outputs of most recent algorithms a...
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ISBN:
(纸本)9781467388511
image segmentation is a key component in many computer vision systems, and it is recovering a prominent spot in the literature as methods improve and overcome their limitations. The outputs of most recent algorithms are in the form of a hierarchical segmentation, which provides segmentation at different scales in a single tree-like structure. Commonly, these hierarchical methods start from some lowlevel features, and are not aware of the scale information of the different regions in them. As such, one might need to work on many different levels of the hierarchy to find the objects in the scene. This work tries to modify the existing hierarchical algorithm by improving their alignment, that is, by trying to modify the depth of the regions in the tree to better couple depth and scale. To do so, we first train a regressor to predict the scale of regions using mid-level features. We then define the anchor slice as the set of regions that better balance between over-segmentation and undersegmentation. The output of our method is an improved hierarchy, re-aligned by the anchor slice. To demonstrate the power of our method, we perform comprehensive experiments, which show that our method, as a post-processing step, can significantly improve the quality of the hierarchical segmentation representations, and ease the usage of hierarchical image segmentation to high-level vision tasks such as object segmentation. We also prove that the improvement generalizes well across different algorithms and datasets, with a low computational cost.1.
Production of coral reef habitat maps from high spatial resolution multispectral imagery is common practice and benefits from standardized accuracy assessment methods and many informative studies on the merits of diff...
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Production of coral reef habitat maps from high spatial resolution multispectral imagery is common practice and benefits from standardized accuracy assessment methods and many informative studies on the merits of different processingalgorithms. However, few studies consider the full production workflow, including factors such as operator influence, visual interpretation and a-priori knowledge. An end-user might justifiably ask: Given the same imagery and field data, how consistent would two independent production efforts be? This paper is a post-study analysis of a project in which two teams of researchers independently produced maps of six coral reef systems of the archipelago of the Primeiras and Segundas Environmental Protected Area (PSEPA), Mozambique. Both teams used the same imagery and field data, but applied different approachespixel based vs. object based image analysisand used independently developed classification schemes. The results offer a unique perspective on the map production process. Both efforts resulted in similar merged classes accuracies, averaging at 63% and 64%, but the maps were distinct in terms of scale of spatial patterns, classification disparities, and in other aspects where the mapping process is reliant on visual interpretation. Despite the difficulty in aligning the classification schemes clear patterns of correspondence and discrepancy were identified. The maps were consistent with respect to geomorphological level mapping (17 out of 30 paired comparisons at more than 75% agreement), and also agreed in the extent of coral containing areas within a difference of 16% across the archipelago. However, more detailed benthic habitat level classes were inconsistent. Mapping of deep benthic cover was the most subjective result and dependent on operator visual interpretation, yet this was one of the results of highest interest for the PSEPA management since it revealed a continuity of benthos between the islands and the impression of a pro
This book presents an Introduction and 11 independent chapters, which are devoted to various new approaches of intelligent imageprocessing and analysis. The book also presents new methods, algorithms and applied syst...
ISBN:
(数字)9783319321929
ISBN:
(纸本)9783319321905
This book presents an Introduction and 11 independent chapters, which are devoted to various new approaches of intelligent imageprocessing and analysis. The book also presents new methods, algorithms and applied systems for intelligent imageprocessing, on the following basic topics: Methods for Hierarchical image Decomposition;Intelligent Digital Signal processing and Feature Extraction; Data Clustering and Visualization via Echo State Networks; Clustering of Natural images in Automatic image Annotation systems; Control System for Remote Sensing imageprocessing; Tissue Segmentation of MR Brain images Sequence; Kidney Cysts Segmentation in CT images; Audio Visual Attention Models in Mobile Robots Navigation; Local Adaptive imageprocessing; Learning Techniques for Intelligent Access Control; Resolution Improvement in Acoustic Maps. Each chapter is self-contained with its own references. Some of the chapters are devoted to the theoretical aspects while the others are presenting the practical aspects and the analysis of the modeling of the developed algorithms in different application areas.
Urinary Tract Infections (UTIs) are very common in women, babies and the elderly. The most frequent cause is a bacterium, called Escherichia coli, which usually lives in the digestive system and in the bowel. Infectio...
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In this paper the application for generation of HDR image based on two consecutive images (underexposed and overexposed) for Android mobile operating system is presented. The implemented software preserves a lot of im...
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ISBN:
(纸本)9781509026616
In this paper the application for generation of HDR image based on two consecutive images (underexposed and overexposed) for Android mobile operating system is presented. The implemented software preserves a lot of image details and maintains a low execution time. These features are particularly important for pictures taken using mobile devices in emergency situations. Such photos may constitute evidence that a threat occurred, was properly recognized, or someone committed a crime. HDR images can be also used in mobile systems for supporting pedestrians or drivers. Obtained results indicate on a high effectiveness of the presented solution.
The proceedings contain 79 papers. The topics discussed include: moving object detection and shadow removal in video surveillance;a literature review on phishing crime, prevention review and investigation of gap;a hyp...
ISBN:
(纸本)9781509032976
The proceedings contain 79 papers. The topics discussed include: moving object detection and shadow removal in video surveillance;a literature review on phishing crime, prevention review and investigation of gap;a hyperspectral imaging technology based method for identifying the variety of Mengding Mountain tea;hearthstone deck-construction with a utility system;computational complexity of imageprocessingalgorithms for an intelligent mobile enabled tongue diagnosis scheme;in the digital future: revitalizing information management systems in afghan settings through not only SQL (MongoDB) technology;solving exercise generation problems by diversity oriented meta-heuristics;and modeling of unmanned aerial vehicle deliveries in populated urban areas for risk management.
Discrete Fourier transform (DFT) finds various applications in signal processing, imageprocessing, artificial intelligent, and fuzzy logic etc. DFT is often computed efficiently with Fast Fourier transform (FF1). The...
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Discrete Fourier transform (DFT) finds various applications in signal processing, imageprocessing, artificial intelligent, and fuzzy logic etc. DFT is often computed efficiently with Fast Fourier transform (FF1). The modified split radix FFT (MSRFET.) algorithm implements a length-N=2(m) DFT achieving a reduction of arithmetic complexity compared to split-radix FF1 (SRFFT). In this paper, a simplified algorithm is proposed for the MSRFFT algorithm, reducing the number of real coefficients evaluated from 5/8N - 2 to 15/32N - 2 and the number of groups of decomposition from 4 to 3. A implementation approach is also presented. The approach makes data-path of the MSRFFT regular similar to that of the radix-2 FFT algorithm. The experimental results show that (1) MSRFFT consumes less time on central processing units (CPUs) with sufficient cache than existing algorithms;(2) the proposed implementation method can save execution time on CPUs and general processing units (GPUs).
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