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標(biāo)題: Titlebook: Computer Vision Beyond the Visible Spectrum; Bir Bhanu (Fellow IEEE, AAAS, IAPR, Senior Honeywe Book 2005 Springer-Verlag London 2005 3D.A [打印本頁]

作者: exterminate    時間: 2025-3-21 20:04
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書目名稱Computer Vision Beyond the Visible Spectrum被引頻次學(xué)科排名




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書目名稱Computer Vision Beyond the Visible Spectrum年度引用學(xué)科排名




書目名稱Computer Vision Beyond the Visible Spectrum讀者反饋




書目名稱Computer Vision Beyond the Visible Spectrum讀者反饋學(xué)科排名





作者: 蘆筍    時間: 2025-3-21 22:43

作者: ADORE    時間: 2025-3-22 00:48
Book 2005reading for academics & industrial researchers working in the area of computer vision, image processing, and medical imaging, it will also be useful background reading for advanced undergraduate & postgraduate students.
作者: Rotator-Cuff    時間: 2025-3-22 04:53
https://doi.org/10.1007/978-3-031-03983-6se; and (3) integration of multiple recognizers at different look angles. Extensive experimental recognition results are presented in terms of receiver operating characteristic (ROC) curves to show the effects of these extensions on SAR recognition performance for real vehicle targets with articulation, configuration variants, and occlusion.
作者: 輕浮女    時間: 2025-3-22 09:25
Earth and Environmental Sciences Libraryhen applied to thermal infrared, particularly under variable illumination conditions. Physical phenomenology responsible for this observation is analyzed. An end-to-end face recognition system incorporating simultaneous coregistered thermal infrared and visible has been developed and tested indoors with good performance.
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作者: 別名    時間: 2025-3-23 05:50
Cardiovascular MR Image Analysis,rmous amounts of generated MR data require employment of automated image analysis techniques to provide quantitative indices of structure and function. Techniques for 3D segmentation and quantitative assessment of left and right cardiac ventricles, arterial and venous trees, and arterial plaques are presented.
作者: NATTY    時間: 2025-3-23 10:25

作者: Flatter    時間: 2025-3-23 15:13
Earth and Environmental Sciences Libraryition, it considers structural similarity between model objects. The framework consists of two stages. In the first stage, we calculate a measure of the structural similarity between every pair of objects in the model set. This measure is a function of the relative transformation between the model o
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The Immediate Post-World War II Periodet compression assessed, and image classification by multi dimensional clustering techniques demonstrated. It is shown that the time-frequency methods perform as well as conventional analysis for determining material properties. Wavelet compression gave results that were robust through compressions
作者: Conspiracy    時間: 2025-3-24 12:27
A Theoretical Framework for Predicting Performance of Object Recognition,ition, it considers structural similarity between model objects. The framework consists of two stages. In the first stage, we calculate a measure of the structural similarity between every pair of objects in the model set. This measure is a function of the relative transformation between the model o
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作者: 四目在模仿    時間: 2025-3-25 09:07
2191-6586 ge processing, and medical imaging, it will also be useful background reading for advanced undergraduate & postgraduate students.978-1-84996-887-4978-1-84628-065-8Series ISSN 2191-6586 Series E-ISSN 2191-6594
作者: 山羊    時間: 2025-3-25 15:22

作者: 無意    時間: 2025-3-25 15:55
Methods for Improving the Performance of an SAR Recognition System,R) imagery under the extended operating conditions of object articulation, occlusion, and configuration variants. The fundamental approach uses recognition models based on quasi-invariant local features, radar scattering center locations, and magnitudes. Three basic extensions to this approach are d
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作者: 600    時間: 2025-3-26 03:12
Target Classification Using Adaptive Feature Extraction and Subspace Projection for Hyperspectral Iobtained through a large number of narrow contiguous spectral channels (often over a hundred). Targets are man-made objects (e.g., vehicles) whose constituent materials and internal structures are usually substantially different from natural objects (i.e., backgrounds). The basic premise of hyperspe
作者: 錯    時間: 2025-3-26 04:52

作者: 外觀    時間: 2025-3-26 09:18
Face Recognition in the Thermal Infrared,video cameras sense reflected light, thermal infrared cameras primarily measure emitted radiation from objects such as faces. Visible and thermal infrared image data collections of frontal faces have been on-going at NIST for over two years, producing the most comprehensive face database known to in
作者: Inelasticity    時間: 2025-3-26 13:18

作者: ALIEN    時間: 2025-3-26 19:32
Visualization and Segmentation Techniques in 3D Ultrasound Images,accurate and quantitative monitoring of disease progression or regression. 2D viewing of 3D anatomy, using conventional ultrasonography limits our ability to quantify and visualize pathology and is partly responsible for the reported variability in diagnosis and monitoring of disease progression. Ef
作者: 抓住他投降    時間: 2025-3-26 23:44
Time-Frequency Analysis in Terahertz-Pulsed Imaging,rum accessible for practical imaging. Applications are emerging, notably in the biomedical domain. In this chapter the technique of terahertz-pulsed imaging is introduced in some detail. The need for special computer vision methods, which arises from the use of pulses of radiation and the acquisitio
作者: adduction    時間: 2025-3-27 01:27
Computer Vision Beyond the Visible Spectrum978-1-84628-065-8Series ISSN 2191-6586 Series E-ISSN 2191-6594
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作者: 大方一點    時間: 2025-3-27 12:00

作者: 責(zé)問    時間: 2025-3-27 16:47
Earth and Environmental Sciences Libraryn art to a science, and to speed up the design process for recognition systems. In this chapter, we address the performance—prediction problem in the context of a common recognition task, where both model objects and scene data are represented by locations of 2D point features. The criterion used fo
作者: 追逐    時間: 2025-3-27 18:19
https://doi.org/10.1007/978-3-031-03983-6R) imagery under the extended operating conditions of object articulation, occlusion, and configuration variants. The fundamental approach uses recognition models based on quasi-invariant local features, radar scattering center locations, and magnitudes. Three basic extensions to this approach are d
作者: HATCH    時間: 2025-3-28 01:40
https://doi.org/10.1007/978-3-031-03983-6od than intensity-based sensors, and consequently laser radars are easier to interpret. While the shape contains more salient (and less variable) information, the computational difficulties are similar to those of other common sensor systems. A discussion of common approaches to 3D object recognitio
作者: Expertise    時間: 2025-3-28 02:59
Earth and Environmental Sciences Libraryobtained through a large number of narrow contiguous spectral channels (often over a hundred). Targets are man-made objects (e.g., vehicles) whose constituent materials and internal structures are usually substantially different from natural objects (i.e., backgrounds). The basic premise of hyperspe
作者: innovation    時間: 2025-3-28 08:05

作者: 顛簸地移動    時間: 2025-3-28 12:04
Earth and Environmental Sciences Libraryvideo cameras sense reflected light, thermal infrared cameras primarily measure emitted radiation from objects such as faces. Visible and thermal infrared image data collections of frontal faces have been on-going at NIST for over two years, producing the most comprehensive face database known to in
作者: 可憎    時間: 2025-3-28 15:15

作者: 廚師    時間: 2025-3-28 22:24
https://doi.org/10.1007/978-94-011-9717-5accurate and quantitative monitoring of disease progression or regression. 2D viewing of 3D anatomy, using conventional ultrasonography limits our ability to quantify and visualize pathology and is partly responsible for the reported variability in diagnosis and monitoring of disease progression. Ef
作者: 變異    時間: 2025-3-28 22:54





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