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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:
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
来源: 评论
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
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
来源: 评论
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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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
来源: 评论
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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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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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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Stochastic Model on Low Resolution Characters and the Feature of Topological Invariant  17
Stochastic Model on Low Resolution Characters and the Featur...
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Joint 17th World Congress of International-Fuzzy-systems-Association / 9th International conference on Soft Computing and Intelligent systems (IFSA-SCIS)
作者: Matsuda, Takeshi Univ Nagasaki Dept Informat Secur 1-1-1 Manabino Nagoya Nagasaki 8512195 Japan
images data may contain low resolution characters, and it is not easy to estimate the given low resolution characters. this paper proposed the stochastic model of the low resolution characters and considered the topol... 详细信息
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Additive spatially correlated noise suppression by robust block matching and adaptive 3D filtering  17
Additive spatially correlated noise suppression by robust bl...
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17th image processing: algorithms and systems conference, ipas 2019
作者: Rubel, Oleksii Lukin, Vladimir Egiazarian, Karen National Aerospace University ''KhAI '' Department of Information and Communication Technologies Kharkiv Ukraine Tampere University of Technology Signal Processing Laboratory Tampere Finland
the evolution of modern sensors for image acquisition brings as much obstacles as many possibilities to obtain multidimensional data with high resolution and rich information. One of the most perceptible destructive f... 详细信息
来源: 评论