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公开(公告)号：US09147239B2
公开(公告)日：2015-09-29
申请号：US13727483
申请日：2012-12-26
Applicant: STMicroelectronics S.r.l.
Inventor： Danilo Pietro Pau , Daniele Masala , Xinfeng Bao
CPC classification number: G06T7/00 , G06T7/0012 , G06T7/62 , G06T17/00 , G06T2207/10072 , G06T2207/30016 , G06T2210/21 , G06T2210/41
Abstract: The mass of an object may be estimated based on intersection points of a representation of a surface in an image space with cubes defining the image space, the surface representing a surface of an object. The representation may be, for example, based on marching cubes. The mass may be estimated by estimating a mass contribution of a first set of cubes contained entirely within the representation of the surface, estimating a mass contribution of a second set of cubes having intersection points with the representation of the surface, and summing the estimated mass contribution of the first set of cubes and the estimated mass contribution of the second set of cubes. The object may be segmented from other portions of an image prior to estimating the mass of the object.
Abstract translation: 可以基于图像空间中的表面的表示与定义图像空间的立方体的表示的交点来估计对象的质量，表面表示对象的表面。 该表示可以是例如基于行进立方体。 可以通过估计完全在表面的表示内的第一组立方体的质量贡献来估计质量，估计具有与表面的表示的交点的第二组立方体的质量贡献，并将估计的质量 第一组立方体的贡献和第二组立方体的估计质量贡献。 在估计对象的质量之前，对象可以从图像的其他部分分割。
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12.发明申请公开(公告)号：US20170111638A1
公开(公告)日：2017-04-20
申请号：US15395405
申请日：2016-12-30
Applicant: STMICROELECTRONICS S.R.L.
Inventor： Danilo Pietro Pau
IPC: H04N19/115 , G06K9/46 , H04N19/172 , H04N19/146 , H04N19/196
CPC classification number: H04N19/115 , G06F17/30799 , G06K9/4671 , H04L47/12 , H04N19/146 , H04N19/164 , H04N19/17 , H04N19/172 , H04N19/196
Abstract: In an embodiment, digital video frames in a flow are subjected to a method of extraction of features including the operations of: extracting from the video frames respective sequences of pairs of keypoints/descriptors limiting to a threshold value the number of pairs extracted for each frame; sending the sequences extracted from an extractor module to a server for processing with a bitrate value variable in time; receiving the aforesaid bitrate value variable in time at the extractor as target bitrate for extraction; and limiting the number of pairs extracted by the extractor to a threshold value variable in time as a function of the target bitrate.
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13.发明申请METHOD OF CLUSTERING DIGITAL IMAGES, CORRESPONDING SYSTEM, APPARATUS AND COMPUTER PROGRAM PRODUCT 审中-公开聚合数字图像，相关系统，设备和计算机程序产品的方法公开(公告)号：US20160307068A1
公开(公告)日：2016-10-20
申请号：US14958041
申请日：2015-12-03
Applicant: STMicroelectronics S.r.l.
Inventor： Danilo Pietro Pau , Emanuele Plebani , Luca Paliotto
IPC: G06K9/62
CPC classification number: G06K9/6223 , G06F16/583 , G06K9/6215
Abstract: Digital image processing circuitry clusters a set of images into a set of first clusters of images and a set of unclustered images. The set of first clusters are merged, generating a set of second clusters of images. Images in the set of unclustered images are assigned to one of a cluster of the set of second clusters of images and an outlier image cluster. The clustered images may be partitioned into subclusters based on detection of objects in the images.
Abstract translation: 数字图像处理电路将一组图像聚集成一组第一组图像和一组非聚簇图像。 第一集群的集合被合并，产生一组第二组图像。 非集群图像集中的图像被分配给该组第二聚类图像和离群图像簇中的一个簇。 基于对图像中的对象的检测，聚类图像可以被划分成子簇。
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14.发明申请IMAGE PROCESSING SYSTEM FOR EXTRACTION OF CONTEXTUAL INFORMATION AND ASSOCIATED METHODS 有权用于提取相关信息和相关方法的图像处理系统公开(公告)号：US20160203385A1
公开(公告)日：2016-07-14
申请号：US14593413
申请日：2015-01-09
Inventor： Alberto Margari , Danilo Pietro Pau , Raimondo Schettini
CPC classification number: G06K9/4642 , G06K9/00805 , G06K9/00973
Abstract: An image processing system includes a first processor that acquires frames of image data. For each frame of data, the first processor generates a Gaussian pyramid for the frame of data, extract histogram of oriented gradient (HOG) descriptors for each level of the Gaussian pyramid, compresses the HOG descriptors, and sends the compressed HOG descriptors. A second processor is coupled to the first processor and is configured to receive the compressed HOG descriptors, aggregate the compressed HOG descriptors into windows, compare data of each window to at least one stored model, and generate output based upon the comparison.
Abstract translation: 图像处理系统包括获取图像数据帧的第一处理器。 对于每个数据帧，第一处理器为数据帧生成高斯金字塔，为高斯金字塔的每个级别提取定向梯度（HOG）描述符的直方图，压缩HOG描述符，并发送压缩的HOG描述符。 第二处理器耦合到第一处理器，并被配置为接收压缩的HOG描述符，将压缩的HOG描述符聚合到窗口中，将每个窗口的数据与至少一个存储的模型进行比较，并且基于该比较生成输出。
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15.发明申请VISUAL SEARCH SYSTEM ARCHITECTURES BASED ON COMPRESSED OR COMPACT DESCRIPTORS 有权基于压缩或紧凑描述符的视觉搜索系统架构公开(公告)号：US20130216135A1
公开(公告)日：2013-08-22
申请号：US13762349
申请日：2013-02-07
Applicant: STMICROELECTRONICS S.R.L.
Inventor： Danilo Pietro Pau
IPC: G06K9/00
CPC classification number: H04N19/124 , G06K9/00523 , G06K9/00671 , G06K9/46 , G06K9/4671 , G06K9/6218 , H04N19/13 , H04N19/91
Abstract: An embodiment of a visual search system includes at least one imaging device, each imaging device operable to capture a corresponding image, a feature extraction device coupled to each imaging device, each feature extraction device operable to generate feature descriptors from the image received from the corresponding imaging device. A descriptor encoding device is coupled to each feature extraction device and operable to generate compressed feature descriptors from the received feature descriptors. An application processor is coupled to each descriptor encoding device. The application processor is operable to process the received compressed feature descriptors to generate output information as a function of the processed compressed feature descriptors.
Abstract translation: 视觉搜索系统的实施例包括至少一个成像装置，每个成像装置可操作以捕获对应的图像，耦合到每个成像装置的特征提取装置，每个特征提取装置可操作以从根据相应的图像接收的图像生成特征描述符 成像装置。 描述符编码设备被耦合到每个特征提取设备并且可操作以从接收到的特征描述符生成压缩特征描述符。 应用处理器耦合到每个描述符编码设备。 应用处理器可操作以处理所接收的压缩特征描述符以生成作为经处理的压缩特征描述符的函数的输出信息。
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Patent Agency Ranking
公开(公告)号：US20130163836A1
公开(公告)日：2013-06-27
申请号：US13727483
申请日：2012-12-26
Applicant: STMicroelectronics S.r.l.
Inventor： Danilo Pietro Pau , Daniele Masala , Xinfeng Bao
IPC: G06T7/00
CPC classification number: G06T7/00 , G06T7/0012 , G06T7/62 , G06T17/00 , G06T2207/10072 , G06T2207/30016 , G06T2210/21 , G06T2210/41
Abstract: The mass of an object may be estimated based on intersection points of a representation of a surface in an image space with cubes defining the image space, the surface representing a surface of an object. The representation may be, for example, based on marching cubes. The mass may be estimated by estimating a mass contribution of a first set of cubes contained entirely within the representation of the surface, estimating a mass contribution of a second set of cubes having intersection points with the representation of the surface, and summing the estimated mass contribution of the first set of cubes and the estimated mass contribution of the second set of cubes. The object may be segmented from other portions of an image prior to estimating the mass of the object.
Abstract translation: 可以基于图像空间中的表面的表示与定义图像空间的立方体的表示的交点来估计对象的质量，表面表示对象的表面。 该表示可以是例如基于行进立方体。 可以通过估计完全在表面的表示内的第一组立方体的质量贡献来估计质量，估计具有与表面的表示的交点的第二组立方体的质量贡献，并将估计的质量 第一组立方体的贡献和第二组立方体的估计质量贡献。 在估计对象的质量之前，对象可以从图像的其他部分分割。
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公开(公告)号：US11960988B2
公开(公告)日：2024-04-16
申请号：US15903605
申请日：2018-02-23
Applicant: STMICROELECTRONICS S.r.l.
Inventor： Emanuele Plebani , Danilo Pietro Pau
Abstract: A classification device receives sensor data from a set of sensors and generates, using a context classifier having a set of classifier model parameters, a set of raw predictions based on the received sensor data. Temporal filtering and heuristic filtering are applied to the raw predictions, producing filtered predictions. A prediction error is generated from the filtered predictions, and model parameters of the set of classifier model parameters are updated based on said prediction error. The classification device may be a wearable device.
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18.发明授权公开(公告)号：US11461142B2
公开(公告)日：2022-10-04
申请号：US16924091
申请日：2020-07-08
Applicant: STMicroelectronics S.r.l.
Inventor： Emanuele Plebani , Mirko Falchetto , Danilo Pietro Pau
Abstract: Methods, microprocessors, and systems are provided for implementing an artificial neural network. Data buffers in virtual memory are coupled to respective processing layers in the artificial neural network. An ordered visiting sequence of layers of the artificial neural network is obtained. A virtual memory allocation schedule is produced as a function of the ordered visiting sequence of layers of the artificial neural network, the schedule including a set of instructions for memory allocation and deallocation operations applicable to the data buffers. A physical memory configuration dataset is computed as a function of the virtual memory allocation schedule for the artificial neural network, the dataset including sizes and addresses of physical memory locations for the artificial neural network.
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公开(公告)号：US10579904B2
公开(公告)日：2020-03-03
申请号：US13869639
申请日：2013-04-24
Applicant: STMicroelectronics S.r.l.
Inventor： Arcangelo Ranieri Bruna , Danilo Pietro Pau
Abstract: Apparatus and methods to unwarp at least portions of distorted, electronically-captured images are described. Keypoints, instead of an entire image, may be unwarped and used in various machine-vision algorithms, such as object recognition, image matching, and 3D reconstruction algorithms. When using unwarped keypoints, the machine-vision algorithms may perform reliably irrespective of distortions that may be introduced by one or more image capture systems.
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20.发明授权Visual search system architectures based on compressed or compact feature descriptors 有权基于压缩或紧凑特征描述符的视觉搜索系统架构公开(公告)号：US09258564B2
公开(公告)日：2016-02-09
申请号：US13762349
申请日：2013-02-07
Applicant: STMicroelectronics S.r.l.
Inventor： Danilo Pietro Pau
CPC classification number: H04N19/124 , G06K9/00523 , G06K9/00671 , G06K9/46 , G06K9/4671 , G06K9/6218 , H04N19/13 , H04N19/91
Abstract: An embodiment of a visual search system includes at least one imaging device, each imaging device operable to capture a corresponding image, a feature extraction device coupled to each imaging device, each feature extraction device operable to generate feature descriptors from the image received from the corresponding imaging device. A descriptor encoding device is coupled to each feature extraction device and operable to generate compressed feature descriptors from the received feature descriptors. An application processor is coupled to each descriptor encoding device. The application processor is operable to process the received compressed feature descriptors to generate output information as a function of the processed compressed feature descriptors.
Abstract translation: 视觉搜索系统的实施例包括至少一个成像装置，每个成像装置可操作以捕获对应的图像，耦合到每个成像装置的特征提取装置，每个特征提取装置可操作以从根据相应的图像接收的图像生成特征描述符 成像装置。 描述符编码设备被耦合到每个特征提取设备并且可操作以从接收到的特征描述符生成压缩特征描述符。 应用处理器耦合到每个描述符编码设备。 应用处理器可操作以处理所接收的压缩特征描述符以生成作为经处理的压缩特征描述符的函数的输出信息。
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