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公开(公告)号:US20240362929A1
公开(公告)日:2024-10-31
申请号:US18767222
申请日:2024-07-09
申请人: NVIDIA Corporation
发明人: Josh Abbott , Miguel Sainz Serra , Zhaoting Ye , David Nister
CPC分类号: G06V20/588 , G06T7/12 , G06T7/70 , G06T11/20 , G06T2207/20084 , G06T2207/20132 , G06T2207/30256 , G06T2210/12
摘要: In various examples, object fence corresponding to objects detected by an ego-vehicle may be used to determine overlap of the object fences with lanes on a driving surface. A lane mask may be generated corresponding to the lanes on the driving surface, and the object fences may be compared to the lanes of the lane mask to determine the overlap. Where an object fence is located in more than one lane, a boundary scoring approach may be used to determine a ratio of overlap of the boundary fence, and thus the object, with each of the lanes. The overlap with one or more lanes for each object may be used to determine lane assignments for the objects, and the lane assignments may be used by the ego-vehicle to determine a path or trajectory along the driving surface.
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公开(公告)号:US20240362797A1
公开(公告)日:2024-10-31
申请号:US18639001
申请日:2024-04-18
CPC分类号: G06T7/20 , G06T7/12 , G06T7/194 , G06T7/62 , G06T7/70 , G06V10/40 , G06T2207/10016 , G06V2201/07
摘要: A system and associated methods are disclosed for automatically detecting, tracking and classifying an at least one object, moving within an environment proximal to a structure, using a camera. In at least one embodiment, a processor receives a plurality of video frames as captured by the camera. For each of the video frames, the processor detects the presence of the at least one object within said video frame, creates a track for each of the at least one detected object, identifies each track as either an acceptable track or noise, classifies each of the acceptable tracks, and generates an at least one summary image that visually represents the at least one detected object within the environment proximal to the structure, allowing for validation and performance evaluation of the object detection, tracking, and classification process.
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公开(公告)号:US12131556B2
公开(公告)日:2024-10-29
申请号:US17234475
申请日:2021-04-19
申请人: NVIDIA Corporation
发明人: Josh Abbott , Miguel Sainz Serra , Zhaoting Ye , David Nister
CPC分类号: G06V20/588 , G06T7/12 , G06T7/70 , G06T11/20 , G06T2207/20084 , G06T2207/20132 , G06T2207/30256 , G06T2210/12
摘要: In various examples, object fence corresponding to objects detected by an ego-vehicle may be used to determine overlap of the object fences with lanes on a driving surface. A lane mask may be generated corresponding to the lanes on the driving surface, and the object fences may be compared to the lanes of the lane mask to determine the overlap. Where an object fence is located in more than one lane, a boundary scoring approach may be used to determine a ratio of overlap of the boundary fence, and thus the object, with each of the lanes. The overlap with one or more lanes for each object may be used to determine lane assignments for the objects, and the lane assignments may be used by the ego-vehicle to determine a path or trajectory along the driving surface.
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公开(公告)号:US20240355030A1
公开(公告)日:2024-10-24
申请号:US18682810
申请日:2022-07-07
发明人: Zhixiong LU
摘要: An image processing method and apparatus, a device, and a storage medium are provided. The image processing method includes: acquiring a target image, and acquiring attribute information of the sky in the target image; performing sky segmentation processing on the target image to obtain a sky image in the target image; and, on the basis of the attribute information, performing corresponding effect processing on the sky image in the target image. The corresponding effect processing step is selected based on the attribute information in order to perform effect processing on the sky image.
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公开(公告)号:US20240331211A1
公开(公告)日:2024-10-03
申请号:US18194441
申请日:2023-03-31
发明人: Larry Davis , Nicolas Heron , Amit Kumar Agrawal , Nina Mitra Khosrowsalafi , Osama Makansi , Oleksandr Vorobiov
IPC分类号: G06T11/00 , G06T7/12 , G06T7/70 , G06V10/764
CPC分类号: G06T11/00 , G06T7/12 , G06T7/70 , G06V10/764 , G06T2207/20081 , G06T2207/30196
摘要: Systems and methods are described for generating images of synthesized bodies wearing a garment. For instance, a source image of a human or mannequin wearing a garment may be submitted to a synthesized human generation system. In response to receiving the source image, the synthesized human generation system may use a classifier to classify the image as depicting one or more body types or orientations. The synthesized human generation system may also apply segmentation to the source image to segment the garment pixels. The synthesized human generation system may then select one or more body generation machine learning models based on the classification of the source image. The synthesized human generation system may utilize the selected machine learning models to generate one or more output images of synthesized bodies that appear to be wearing the garment, using the segmented garment as input.
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公开(公告)号:US12106485B2
公开(公告)日:2024-10-01
申请号:US17729839
申请日:2022-04-26
申请人: Beihang University
发明人: Feng Lu , Yuxin Zhao , Zhimin Wang , Qinping Zhao
CPC分类号: G06T7/12 , G06V40/193 , G06T2207/20084 , G06T2207/30201
摘要: The embodiments of the present disclosure disclose an edge-guided human eye image analyzing method. A specific implementation of this method comprises: collect a human eye image as an image to be detected; obtain a human eye detection contour map; obtain a semantic segmentation detection map and an initial human eye image detection fitting parameter; performing an iterative search on the initial human eye image detection fitting parameter to determine a target human eye image detection fitting parameter; sending the semantic segmentation detection map and the target human eye image detection fitting parameter as image analyzing results to a display terminal for display. This implementation improves the accuracy at the boundary dividing the pupil-iris area, and increases the structural integrity of the ellipse resulted from dividing the pupil-iris area. In addition, the iterative search can achieve a more accurate ellipse parameter fitting result.
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公开(公告)号:US12105535B1
公开(公告)日:2024-10-01
申请号:US18393598
申请日:2023-12-21
发明人: Peng Wang , Xiantao Peng , Dake Li , Mingyi Liu , Feng Xu , Jun Shen
IPC分类号: G05D1/00 , G05D1/617 , G06T7/12 , G06V10/26 , G06V10/82 , G05D105/20 , G05D107/70 , G05D111/10 , G05D111/67
CPC分类号: G05D1/619 , G06T7/12 , G06V10/26 , G06V10/82 , G05D2105/20 , G05D2107/70 , G05D2111/10 , G05D2111/67 , G06T2207/10016 , G06T2207/20021 , G06T2207/20084
摘要: Provided is a channel monitoring method, an electronic device, and a storage medium. The method includes: obtaining scan data collected by a vehicle body collection component of an automated guided vehicle (AGV) in an area around a vehicle body; obtaining video data collected by a camera in a video collection area, where the camera is one of a plurality of cameras and is used to collect video of at least a partial area of the channel to be monitored of the plurality of channels to be monitored; in a case of determining an existence of a target object based on the scan data collected by the vehicle body collection component and/or the video data collected by the camera, obtaining a target channel where the target object is located; and generating target warning information for the target channel where the target object is located.
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公开(公告)号:US12102389B2
公开(公告)日:2024-10-01
申请号:US17767776
申请日:2020-10-09
申请人: Duke University
发明人: Cynthia Toth , Kai Seely , Vincent Tai , Stephanie Chiu , Katrina Winter , Ryan Imperio
CPC分类号: A61B3/1225 , A61B3/0025 , A61B3/102 , G06T7/0012 , G06T7/12 , G06T2207/10101 , G06T2207/20081 , G06T2207/30041 , G06T2207/30101
摘要: A retinal vessel shadow view optical coherence tomography (RVSV-OCT) image can be created by receiving, at an enhanced OCT processing system, volumetric OCT scan of a patient. The system can segment the volumetric OCT scan to determine layer boundaries and delineate a boundary of interest based on the determined layer boundaries of the segmented volumetric OCT scan. En face vascular information can be extracted to create an RVSV-OCT image by determining a first offset from the boundary of interest and a second offset from the boundary of interest; extracting volumetric data from an area between the first offset and the second offset to create a three-dimensional volume; and identifying a two-dimensional surface from the three-dimensional volume, the two-dimensional surface being the RVSV-OCT image. The RVSV-OCT image can be provided for analysis, for example, to evaluate retinal vascular disease in preterm infants at risk for retinopathy of prematurity.
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公开(公告)号:US12094121B2
公开(公告)日:2024-09-17
申请号:US17427653
申请日:2020-02-04
申请人: BOREA
发明人: Julien Guillot
CPC分类号: G06T7/11 , A61C9/0046 , G06T7/12 , G06T2200/04 , G06T2207/30036
摘要: Method for segmenting a digital model (4) of teeth comprising a three-dimensional triangular mesh (41), wherein automatic means (6) implement the following steps, which are referred to as initial steps:
classifying, within the mesh (41), at least one triangle into a concave category and/or at least one triangle into a convex category, and
identifying, within the mesh (41), at least one tooth region comprising triangles such that each triangle of the region has at least one neighbouring triangle in the region, all the triangles of the region belonging to neither the convex nor the concave category.-
公开(公告)号:US20240303823A1
公开(公告)日:2024-09-12
申请号:US18576706
申请日:2021-07-06
发明人: Makoto MUTO
CPC分类号: G06T7/12 , G06T3/40 , G06T7/13 , G06T7/62 , G06T2207/30242
摘要: A subject extraction device (10) according to the present disclosure includes: a resolution reducing unit (111) that reduces resolution of an image to generate a low resolution image; a subject possibility extraction unit (112) that extracts possibilities of a subject portion from the low resolution image; a resolution increasing unit (113) that increases resolution of a boundary portion between the subject portion and a non-subject portion, judges whether the boundary portion is the non-subject portion pixel by pixel, and decides the subject portion and the non-subject portion on the basis of a judgement result; and a calculation resource assignment unit (114) that determines a value of the calculation resource to be assigned to the subject possibility extraction unit (112) as a first value and determines a value of the calculation resource to be assigned to the resolution increasing unit (113) as a second value according to the number of subject portions, and assigns the calculation resource to the subject possibility extraction unit (112) and the resolution increasing unit (113) on the basis of the first value and the second value that have been determined.
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