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11. 发明申请

US20170323202A1 RECOGNITION APPARATUS BASED ON DEEP NEURAL NETWORK, TRAINING APPARATUS AND METHODS THEREOF 审中-公开
公开(公告)号：US20170323202A1
公开(公告)日：2017-11-09
申请号：US15587803
申请日：2017-05-05
申请人： Fujitsu Limited
发明人： Song Wang , Wei Fan , Jun Sun
IPC分类号： G06N3/08 , G06N3/04
CPC分类号： G06N3/08 , G06N3/04 , G06N3/0454 , G06N3/084
摘要： A recognition apparatus based on a deep neural network, a training apparatus and methods thereof. The deep neural network is obtained by inputting training samples comprising positive samples and negative samples into an input layer of the deep neural network and training. The apparatus includes: a judging unit configured to judge that a sample to be recognized is a suspected abnormal sample when confidences of positive sample classes in a classification result outputted by an output layer of the deep neural network are all less than a predefined threshold value. Hence, reliability of a confidence of a classification result outputted by the deep neural network may be efficiently improved.

12. 发明授权

US09633449B2 Apparatus and method for detecting color checker in image 有权
公开(公告)号：US09633449B2
公开(公告)日：2017-04-25
申请号：US14699532
申请日：2015-04-29
申请人： FUJITSU LIMITED
发明人： Song Wang , Akihiro Minagawa , Wei Fan , Jun Sun
IPC分类号： G06K9/00 , G06T7/40 , G06T5/00 , G06K9/46 , G06T7/73 , G06T7/11 , G06T7/168 , G06T7/90
CPC分类号： G06T7/168 , G06K9/4604 , G06K9/4652 , G06K9/4671 , G06K2009/4657 , G06T5/007 , G06T7/11 , G06T7/73 , G06T7/90 , G06T2200/12 , G06T2207/10004 , G06T2207/10024 , G06T2207/20048 , G06T2207/30168
摘要： Embodiments provide an apparatus and method for detecting a color checker in an image including: an extracting unit to extract sliding window features of sliding windows at multiple positions from an input image by using a predefined sliding window; a selecting unit to select, by using multiple predefined sliding window templates, a sliding window having a minimum distance from each sliding window template from the sliding windows at the multiple positions as a matched sliding window of the sliding window template; and a determining unit to determine segmentation lines of colored squares of a color checker in the input image according to a matching result of each sliding window template.

13. 发明授权

US09292931B2 Apparatus, method for extracting boundary of object in image, and electronic device thereof 有权
标题翻译：用于提取图像中物体边界的装置，方法及其电子装置
公开(公告)号：US09292931B2
公开(公告)日：2016-03-22
申请号：US13912805
申请日：2013-06-07
申请人： FUJITSU LIMITED
发明人： Pan Pan , Yuan He , Jun Sun , Satoshi Naoi
IPC分类号： G06T7/00
CPC分类号： G06T7/0085 , G06T7/12
摘要： The invention provides an apparatus and method for extracting a boundary of an object in an image and an electronic device. The apparatus includes: a position determining unit, configured to determine a start point and an end point of a boundary of an object in an image and to determine a position of a reference point relevant to the start point and the end point; a first direction determining unit, configured to determine a first direction of the boundary; a gradient map obtaining unit, configured to obtain a gradient map of a first region; a gradient attenuating unit, configured to attenuate in the gradient map the gradients of a second region; and an extracting unit, configured to extract a boundary of an object. The technology of the invention can improve the accuracy of boundary extracting, and can be applied in the field of image processing.
摘要翻译：本发明提供一种用于提取图像和电子设备中的对象的边界的装置和方法。该装置包括：位置确定单元，被配置为确定图像中的对象的边界的起始点和终点，并确定与开始点和终点相关的参考点的位置; 第一方向确定单元，被配置为确定所述边界的第一方向; 梯度图获取单元，被配置为获得第一区域的梯度图; 梯度衰减单元，被配置为在梯度图中衰减映射第二区域的梯度; 以及提取单元，被配置为提取对象的边界。本发明的技术可以提高边界提取的准确性，可以应用于图像处理领域。

14. 发明授权

US09070035B2 Document processing apparatus, document processing method and scanner 有权
标题翻译：文件处理装置，文件处理方法和扫描仪
公开(公告)号：US09070035B2
公开(公告)日：2015-06-30
申请号：US13904477
申请日：2013-05-29
申请人： FUJITSU LIMITED
发明人： Yifeng Pan , Jun Sun , Yuan He , Satoshi Naoi
IPC分类号： G06K9/00 , G06K9/18 , G06K9/32
CPC分类号： G06K9/18 , G06K9/00442 , G06K9/3208 , G06K2209/01
摘要： The disclosure provides a document processing apparatus, method and a scanner. The document processing apparatus includes: a text line extraction unit extracting a text line from an input document; a language classification unit determining whether an OCR process is necessary for a language of the input document; an OCR unit determining, by performing the OCR process, an OCR confidence in the case that it is determined that the OCR process is necessary; an graphic feature recognition unit determining an graphic feature recognition confidence; and a determination unit determining a combination confidence based on at least one of the determined graphic feature recognition confidences and the determined OCR confidences, and determining an orientation of the input document based on the combination confidences. This technical solution can determine better an orientation of the document, and is especially applicable when the quality of the image of the document is deteriorated.
摘要翻译：本公开提供了一种文件处理装置，方法和扫描仪。文件处理装置包括：文本行提取单元，从输入文档中提取文本行; 语言分类单元，确定输入文档的语言是否需要OCR处理; OCR单元通过执行OCR处理确定在确定OCR处理是必要的情况下的OCR置信度; 确定图形特征识别置信度的图形特征识别单元; 以及确定单元，基于所确定的图形特征识别信息和所确定的OCR信心中的至少一个确定组合置信度，以及基于所述组合机密来确定所述输入文档的取向。该技术解决方案可以更好地确定文档的方向，并且当文档的图像的质量劣化时特别适用。

15. 发明申请

US20150036920A1 CONVOLUTIONAL-NEURAL-NETWORK-BASED CLASSIFIER AND CLASSIFYING METHOD AND TRAINING METHODS FOR THE SAME 有权
标题翻译：基于神经网络的分类器及其分类方法及其训练方法
公开(公告)号：US20150036920A1
公开(公告)日：2015-02-05
申请号：US14448049
申请日：2014-07-31
申请人： FUJITSU LIMITED
发明人： Chunpeng WU , Wei Fan , Yuan He , Jun Sun
IPC分类号： G06K9/62
CPC分类号： G06K9/6272 , G06K9/4628 , G06K9/6267 , G06N3/0454 , G06N3/0481
摘要： The present invention relates to a convolutional-neural-network-based classifier, a classifying method by using a convolutional-neural-network-based classifier and a method for training the convolutional-neural-network-based classifier. The convolutional-neural-network-based classifier comprises: a plurality of feature map layers, at least one feature map in at least one of the plurality of feature map layers being divided into a plurality of regions; and a plurality of convolutional templates corresponding to the plurality of regions respectively, each of the convolutional templates being used for obtaining a response value of a neuron in the corresponding region.
摘要翻译：本发明涉及基于卷积神经网络的分类器，通过使用基于卷积神经网络的分类器的分类方法和用于训练基于卷积神经网络的分类器的方法。基于卷积神经网络的分类器包括：多个特征图层，所述多个特征图层中的至少一个特征图层中的至少一个特征图被划分为多个区域; 以及分别对应于多个区域的多个卷积模板，每个卷积模板用于获得相应区域中的神经元的响应值。

16. 发明授权

US11386248B2 Method and device for simulating atomic dynamics 有权
公开(公告)号：US11386248B2
公开(公告)日：2022-07-12
申请号：US16695834
申请日：2019-11-26
申请人： FUJITSU LIMITED
发明人： Liuan Wang , Jun Sun
IPC分类号： G06F30/20 , G06F17/18 , G06N3/04
摘要： A method and a device for simulating atomic dynamics includes setting initial positions for multiple specific atoms in a specific scene; calculating, based on the initial positions, positions of the multiple specific atoms at each time in a first time series by utilizing a Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) configured with respect to the specific scene, as real positions; calculating, based on the initial positions, positions of the multiple specific atoms at the same time in the first time series by utilizing a generative adversarial network (GAN), as predicted positions; improving a configuration of the GAN based on the real positions and the predicted positions at a same time. Initial positions are settable for multiple atoms to be simulated in a scene; positions of the multiple atoms to be simulated are calculated at each time in a second time series in the scene by utilizing the improved GAN.

17. 发明授权

US11227213B2 Device and method for improving processing speed of neural network 有权
公开(公告)号：US11227213B2
公开(公告)日：2022-01-18
申请号：US15799151
申请日：2017-10-31
申请人： FUJITSU LIMITED
发明人： Liuan Wang , Wei Fan , Jun Sun
IPC分类号： G06N3/08 , G06N3/04
摘要： A device and a method for improving a processing speed of a neural network and applications thereof in the neural network where the device includes a processor configured to perform: determining, according to a predetermined processing speed improvement target, a dimension reduction amount of each of one or more parameter matrixes in the neural network obtained through training; preprocessing each parameter matrix based on the dimension reduction amount of the parameter matrix; and retraining the neural network based on a result of the preprocessing to obtain one or more dimension reduced parameter matrixes so as to ensure performance of the neural network meets a predetermined requirement. According to the embodiments of the present disclosure, it is possible to significantly improve the processing speed of the neural network while ensuring the performance of the neural network meets the predetermined requirement.

18. 发明授权

US11049007B2 Recognition apparatus based on deep neural network, training apparatus and methods thereof 有权
公开(公告)号：US11049007B2
公开(公告)日：2021-06-29
申请号：US15587803
申请日：2017-05-05
申请人： Fujitsu Limited
发明人： Song Wang , Wei Fan , Jun Sun
IPC分类号： G06N3/08 , G06N3/04
摘要： A recognition apparatus based on a deep neural network, a training apparatus and methods thereof. The deep neural network is obtained by inputting training samples comprising positive samples and negative samples into an input layer of the deep neural network and training. The apparatus includes: a judging unit configured to judge that a sample to be recognized is a suspected abnormal sample when confidences of positive sample classes in a classification result outputted by an output layer of the deep neural network are all less than a predefined threshold value. Hence, reliability of a confidence of a classification result outputted by the deep neural network may be efficiently improved.

19. 发明授权

US10187546B2 Method and device for correcting document image captured by image pick-up device 有权
公开(公告)号：US10187546B2
公开(公告)日：2019-01-22
申请号：US15410040
申请日：2017-01-19
申请人： FUJITSU LIMITED
发明人： Wei Liu , Wei Fan , Jun Sun
IPC分类号： H04N1/387 , G06K9/46 , H04N1/393 , G06K9/00 , G06K9/32 , G06K9/36
摘要： The present application relates to a method and a device for correcting a document image captured by an image pick-up device. The method includes: determining world coordinates of four vertices of the document image; calculating an original aspect ratio of the document image based on a correspondence between the world coordinates of the four vertices and projective coordinates of the four vertices in a projective space, and an intrinsic matrix and characteristics of an extrinsic matrix of the image pick-up device; determining a projective transformation matrix based on the world coordinates of the four vertices and the aspect ratio; and obtaining a corrected document image based on the determined projective transformation matrix and the document image. According to the application, perspective transformation can be corrected by using only one captured image and an original image can be recovered based on an original aspect ratio.

20. 发明授权

US10074163B2 Image correction method and image correction apparatus 有权
公开(公告)号：US10074163B2
公开(公告)日：2018-09-11
申请号：US15334437
申请日：2016-10-26
申请人： FUJITSU LIMITED
发明人： Jile Jiao , Wei Fan , Jun Sun
IPC分类号： G06K9/00 , G06T5/20 , G06T5/00
CPC分类号： G06T5/20 , G06T5/009 , G06T2207/30176
摘要： An image correction method and an image correction apparatus when the image correction method includes: an identifying step of identifying each pixel in an image as a foreground pixel or a background pixel; a background filling step of estimating brightness of a background corresponding to a foreground pixel based on brightness and gradient of the brightness of background pixels adjacent to the foreground pixel to fill the background located in a position of the foreground pixel, to obtain a background illumination map of the image according to filled backgrounds along with background pixels; and a correcting step of correcting the image based on the brightness of each pixel in the image and the background illumination map. A non-uniform illumination image can be corrected effectively.

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