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1. 发明申请

US20140198951A1 IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD 有权
标题翻译：图像处理装置和图像处理方法
公开(公告)号：US20140198951A1
公开(公告)日：2014-07-17
申请号：US14152121
申请日：2014-01-10
申请人： CANON KABUSHIKI KAISHA
发明人： Masato Aoba , Takayuki Saruta
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/6807 , G06K9/00664
摘要： A dictionary for detection of an object is created from an image obtained by performing an image process, which depends on a first image process parameter, on the training image of the detection target object. The dictionary created based on the image process depending on the first image process parameter is determined, based on a result of detecting the object from an image obtained by performing an image process, which depends on the first image process parameter, on a photographed image based on the dictionary. A second image process parameter is determined, based on a result of detecting the object from an image obtained by performing an image process, which depends on the second image process parameter, on the photographed image using the determined dictionary.
摘要翻译：用于检测对象的字典是根据检测目标对象的训练图像执行取决于第一图像处理参数的图像处理而获得的图像来创建的。基于从基于第一图像处理参数执行图像获得的图像检测对象的结果，基于基于第一图像处理参数的图像处理而创建的字典基于所拍摄的图像被确定在字典上。基于通过使用确定的字典对拍摄的图像执行依赖于第二图像处理参数的图像处理获得的图像来检测对象的结果来确定第二图像处理参数。

2. 发明申请

US20170039417A1 IMAGE RECOGNITION METHOD, IMAGE RECOGNITION APPARATUS, AND RECORDING MEDIUM 审中-公开
标题翻译：图像识别方法，图像识别装置和记录介质
公开(公告)号：US20170039417A1
公开(公告)日：2017-02-09
申请号：US15222639
申请日：2016-07-28
申请人： CANON KABUSHIKI KAISHA
发明人： Takayuki Saruta , Shunta Tate
IPC分类号： G06K9/00 , G06K9/46
CPC分类号： G06K9/00362 , G06K9/00228 , G06K2009/4666
摘要： An image recognition method for an image recognition apparatus includes detecting, setting, acquiring, selecting, and specifying. At least one part of an identification target is selected from an identification target image. An inquiry region is set based on the detected part. A feature amount of the set inquiry region is acquired. At least one instance image corresponding to the identification target image is selected based on the acquired feature amount. A specific region of the identification target from the identification target image is specified based on the selected instance image.
摘要翻译：一种用于图像识别装置的图像识别方法包括检测，设置，获取，选择和指定。从识别目标图像中选择识别目标的至少一部分。基于检测到的部分设置查询区域。获取设置查询区域的特征量。基于获取的特征量来选择与识别对象图像对应的至少一个实例图像。基于所选择的实例图像来指定来自识别目标图像的识别目标的特定区域。

3. 发明申请

US20150109474A1 IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM 有权
标题翻译：图像处理设备，图像处理方法和存储介质
公开(公告)号：US20150109474A1
公开(公告)日：2015-04-23
申请号：US14520841
申请日：2014-10-22
申请人： CANON KABUSHIKI KAISHA
发明人： Takayuki Saruta
IPC分类号： G06K9/62 , G06K9/46 , G06K9/00 , G06T7/00
CPC分类号： G06K9/00664 , G06K2209/27
摘要： In order to precisely identify a class relating to classification of an object at each of regions of an image, an image processing apparatus includes an acquisition unit configured to acquire image capturing information when the object has been captured, an estimation unit configured to estimate distribution relating to a degree of existence of each class which indicates classification of the object at each of predetermined regions of a captured image of the object based on the image capturing information acquired by the acquisition unit, and an identification unit configured to identify the class at each of the regions based on distribution information indicating the distribution estimated by the estimation unit and image information relating to the captured image.
摘要翻译：为了精确地识别与图像的每个区域上的对象的分类相关的类别，图像处理装置包括：获取单元，被配置为当被拍摄对象时获取图像捕获信息;估计单元，被配置为估计分布相关基于由所述获取单元获取的所述图像捕获信息，指示在所述对象的拍摄图像的每个预定区域处对象的分类的每个类别的存在程度，以及识别单元，基于指示由所述估计单元估计的分布的分布信息的区域和与所述捕获图像有关的图像信息。

4. 发明授权

US10438059B2 Image recognition method, image recognition apparatus, and recording medium 有权
公开(公告)号：US10438059B2
公开(公告)日：2019-10-08
申请号：US15222639
申请日：2016-07-28
申请人： CANON KABUSHIKI KAISHA
发明人： Takayuki Saruta , Shunta Tate
IPC分类号： G06K9/00 , G06K9/46
摘要： An image recognition method for an image recognition apparatus includes detecting, setting, acquiring, selecting, and specifying. At least one part of an identification target is selected from an identification target image. An inquiry region is set based on the detected part. A feature amount of the set inquiry region is acquired. At least one instance image corresponding to the identification target image is selected based on the acquired feature amount. A specific region of the identification target from the identification target image is specified based on the selected instance image.

5. 发明授权

US09378422B2 Image processing apparatus, image processing method, and storage medium 有权
标题翻译：图像处理装置，图像处理方法和存储介质
公开(公告)号：US09378422B2
公开(公告)日：2016-06-28
申请号：US14520841
申请日：2014-10-22
申请人： CANON KABUSHIKI KAISHA
发明人： Takayuki Saruta
IPC分类号： G06K9/34 , G06K9/00
CPC分类号： G06K9/00664 , G06K2209/27
摘要： In order to precisely identify a class relating to classification of an object at each of regions of an image, an image processing apparatus includes an acquisition unit configured to acquire image capturing information when the object has been captured, an estimation unit configured to estimate distribution relating to a degree of existence of each class which indicates classification of the object at each of predetermined regions of a captured image of the object based on the image capturing information acquired by the acquisition unit, and an identification unit configured to identify the class at each of the regions based on distribution information indicating the distribution estimated by the estimation unit and image information relating to the captured image.
摘要翻译：为了精确地识别与图像的每个区域上的对象的分类相关的类别，图像处理装置包括：获取单元，被配置为当被拍摄对象时获取图像捕获信息;估计单元，被配置为估计分布相关基于由所述获取单元获取的所述图像捕获信息，指示在所述对象的拍摄图像的每个预定区域处对象的分类的每个类别的存在程度，以及识别单元，基于指示由所述估计单元估计的分布的分布信息的区域和与所述捕获图像有关的图像信息。

6. 发明申请

US20130141570A1 INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD 有权
标题翻译：信息处理设备和信息处理方法
公开(公告)号：US20130141570A1
公开(公告)日：2013-06-06
申请号：US13685420
申请日：2012-11-26
申请人： Canon Kabushiki Kaisha
发明人： Takayuki Saruta , Katsuhiko Mori
IPC分类号： G06K9/78
CPC分类号： G06K9/78 , G06K9/00208 , G06K9/6255
摘要： A probability at which a target object takes a target object state is acquired for each of target object states that the target object is allowed to take, and a distribution of the probabilities is acquired. A success rate is acquired, for each relative target object state being determined in advance for a position and orientation of an image capturing device, at which the target object is successfully identified from a captured image obtained by capturing the target object having the relative target object state, and a distribution of the success rates is acquired. A position and orientation that the device is to take is determined based on the distribution of the success rates acquired for each of a plurality of positions and orientations that the image capturing apparatus is allowed to take, and the distribution of the probabilities.
摘要翻译：针对目标对象被允许的每个目标对象状态获取目标对象采取目标对象状态的概率，并且获取概率分布。获取成功率，对于针对从通过捕获具有相对目标对象的目标对象获得的捕获图像成功识别目标对象的图像捕获装置的位置和方向，预先确定每个相对目标对象状态状态，并获得成功率的分配。基于对于允许拍摄设备的多个位置和取向中的每一个获取的成功率的分布以及概率的分布来确定设备将要采取的位置和取向。

7. 发明授权

US11720786B2 Information processing apparatus, information processing method, and program 有权
公开(公告)号：US11720786B2
公开(公告)日：2023-08-08
申请号：US15713470
申请日：2017-09-22
申请人： CANON KABUSHIKI KAISHA
发明人： Shunta Tate , Masakazu Matsugu , Yasuhiro Komori , Takayuki Saruta
IPC分类号： G06N3/08 , G06N3/04 , G06N3/084
CPC分类号： G06N3/08 , G06N3/0454 , G06N3/084
摘要： According to the present disclosure, a weight parameter of a neural network is divided into a plurality of portions having a certain size and approximation is individually performed on the portions using a weighted sum of the codebook vectors.

8. 发明授权

US11113576B2 Information processing apparatus for training neural network for recognition task and method thereof 有权
公开(公告)号：US11113576B2
公开(公告)日：2021-09-07
申请号：US16389546
申请日：2019-04-19
申请人： CANON KABUSHIKI KAISHA
发明人： Takayuki Saruta
IPC分类号： G06K9/00 , G06K9/62 , G06N3/04 , G06N3/08
摘要： An apparatus includes a multitask setting unit configured to set a plurality of recognition tasks for which a multilayer neural network is trained, a neural network (NN) training unit configured to train the multilayer NN for the set plurality of recognition tasks, an NN evaluation unit configured to evaluate a training result of the multilayer NN, and a training parameter setting unit configured to set a training parameter in training the multilayer NN for the plurality of recognition tasks, based on a result of evaluation by the NN evaluation unit.

9. 发明申请

US20200175377A1 TRAINING APPARATUS, PROCESSING APPARATUS, NEURAL NETWORK, TRAINING METHOD, AND MEDIUM 审中-公开
公开(公告)号：US20200175377A1
公开(公告)日：2020-06-04
申请号：US16693025
申请日：2019-11-22
申请人： CANON KABUSHIKI KAISHA
发明人： Yuichiro Iio , Takayuki Saruta
IPC分类号： G06N3/08 , G06N20/00
摘要： There is provided with a training apparatus for training a neural network. The neural network, when an input image is inputted, outputs a detection result of a first type and a detection result of a second type for each position of the input image. A training data obtaining unit obtains a training image to be input to the neural network for training. An error map obtaining unit obtains an error map indicating a detection error for a detection result of the first type, for each position of the training image. A training unit trains the neural network using the detection result of the first type and the detection result of the second type that are obtained by inputting the training image to the neural network, and the error map.

10. 发明申请

US20190332898A1 INFORMATION PROCESSING APPARATUS FOR TRAINING NEURAL NETWORK FOR RECOGNITION TASK AND METHOD THEREOF 审中-公开
公开(公告)号：US20190332898A1
公开(公告)日：2019-10-31
申请号：US16389546
申请日：2019-04-19
申请人： CANON KABUSHIKI KAISHA
发明人： Takayuki Saruta
IPC分类号： G06K9/62 , G06N3/08 , G06N3/04
摘要： An apparatus includes a multitask setting unit configured to set a plurality of recognition tasks for which a multilayer neural network is trained, a neural network (NN) training unit configured to train the multilayer NN for the set plurality of recognition tasks, an NN evaluation unit configured to evaluate a training result of the multilayer NN, and a training parameter setting unit configured to set a training parameter in training the multilayer NN for the plurality of recognition tasks, based on a result of evaluation by the NN evaluation unit.

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