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检索条件"任意字段=17th Image Processing: Algorithms and Systems Conference, IPAS 2019"
249 条 记 录,以下是11-20 订阅
排序:
Gradient management and algebraic reconstruction for single image super resolution  17
Gradient management and algebraic reconstruction for single ...
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17th image processing: algorithms and systems conference, ipas 2019
作者: Delfin, Leandro Morera Elias, Raul Pinto de Jesús Ochoa Domínguez, Humberto Center of Investigation and Technological Development CENIDET Morelos Mexico Universidad Autónoma de Ciudad Juárez UACJ Chihuahua Mexico
In this paper, a single image multi-scale super-resolution technique is proposed. the concept under study is the learning procedure between steps of amplification in order to predict the next high scale of resolution.... 详细信息
来源: 评论
Microscope image matching in scope of multi-resolution observation system  17
Microscope image matching in scope of multi-resolution obser...
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17th image processing: algorithms and systems conference, ipas 2019
作者: Putranto, Evan H.E. Usuki, Shin Miura, Kenjiro T. Graduate School of Engineering Shizuoka University Japan Research Institute of Electronics Shizuoka University Japan
Multi-resolution image processing are part of this concept that has a purpose to extracting the detail information of the multi-scale input image. However, in general, to process a multi-scale image there are issue th... 详细信息
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Multi-frame super-resolution utilizing spatially adaptive regularization for ToF camera  17
Multi-frame super-resolution utilizing spatially adaptive re...
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17th image processing: algorithms and systems conference, ipas 2019
作者: Lee, Haegeun Kim, Jonghyun Han, Jaeduk Kang, Moon G.I. School of Electrical and Electronic Engineering Yonsei University 50 Yonsei-ro Seodaemun-gu Seoul03722 Korea Republic of
Recently, 3D time-of-flight cameras have been developed. the development enables utilization of depth images in various fields. However, acquired depth images are corrupted by noise during the image acquisition proces... 详细信息
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Optimal Performance Prediction of ADAS algorithms on Embedded Parallel Architectures  17
Optimal Performance Prediction of ADAS Algorithms on Embedde...
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2015 IEEE 17th International conference on High Performance Computing and Communications (HPCC)
作者: Saussard, Romain Bouzid, Boubker Vasiliu, Marius Reynaud, Roger Renault SAS Guyancourt France Univ Paris 11 Inst Elect Fondamentale Orsay France
ADAS (Advanced Driver Assistance systems) algorithms increasingly use heavy image processing operations. To embed this type of algorithms, semiconductor companies offer many heterogeneous architectures. these SoCs (Sy... 详细信息
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Enhanced guided image filter using trilateral kernel for disparity error correction  17
Enhanced guided image filter using trilateral kernel for dis...
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17th image processing: algorithms and systems conference, ipas 2019
作者: Chang, Yong-Jun Ho, Yo-Sung 123 Cheomdangwagi-ro Buk-gu Gwangju 61005 Korea Republic of
Stereo matching methods estimate the depth information from stereoscopic images using the characteristics of binocular disparity. We try to find corresponding points from the left and right viewpoint images to obtain ... 详细信息
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Construction of facial emotion database through subjective experiments and its application to deep learning-based facial image processing  17
Construction of facial emotion database through subjective e...
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17th image processing: algorithms and systems conference, ipas 2019
作者: Takanashi, Tomoyuki Hirai, Keita Horiuchi, Takahiko Department of Imaging Sciences Chiba University 1-33 Yayoi-cho Inage-ku Chiba-shi Chiba263-8522 Japan
As the development of interactive robots and machines, studies to understand and reproduce facial emotions by computers have become important research areas. For achieving this goal, several deep learning-based facial... 详细信息
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image processing: algorithms and systems XVII
Image Processing: Algorithms and Systems XVII
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17th image processing: algorithms and systems conference, ipas 2019
the proceedings contain 269 papers. the topics discussed include: high-speed multiview 3D structured light imaging technique;integration of advanced stereo obstacle detection with perspectively correct surround views;...
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Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos  17
Uncertainty quantification for semi-supervised multi-class c...
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17th image processing: algorithms and systems conference, ipas 2019
作者: Qiao, Yiling Shi, Chang Wang, Chenjian Li, Hao Haberland, Matt Luo, Xiyang Stuart, Andrew M. Bertozzi, Andrea L. University of Chinese Academy of Science Beijing China Renmin University of China Beijing China University of California Los Angeles Los AngelesCA United States California Polytechnic State University San Luis ObispoCA United States California Institute of Technology PasadenaCA United States
Semi-supervised learning uses underlying relationships in data with a scarcity of ground-truth labels. In this paper, we introduce an uncertainty quantification (UQ) method for graph-based semi-supervised multi-class ... 详细信息
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the quaternion-based anisotropic gradient for the color images  17
The quaternion-based anisotropic gradient for the color imag...
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17th image processing: algorithms and systems conference, ipas 2019
作者: Voronin, V. Zelensky, A. Agaian, S. Don State Technical University Lab. «Mathematical Methods of Image Processing and Computer Vision Intelligent Systems» Gagarina 1 Rostov on Don Russia Moscow State University of Technology"STANKIN" Moscow Russia CUNY College of Staten Island Dept. of Computer Science New York United States
image gradient, as a preprocessing step is an essential tool in image processing in many research areas such as edge detection, segmentation, smoothing, inpainting, etc. In the present paper, we develop a new gradient... 详细信息
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P-AFLC: a parallel scalable fuzzy clustering algorithm
P-AFLC: a parallel scalable fuzzy clustering algorithm
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17th International conference on Pattern Recognition (ICPR)
作者: Petrosino, A Verde, M Complesso Univ CNR Sect Naples Italian Natl Res CouncilICAR I-80126 Naples Italy
Clustering is the unsupervised classification of data items into homogeneous groups called clusters. Clustering algorithms are computationally intensive, particularly when they are used to analyze large amounts of dat... 详细信息
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