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公开(公告)号：US10147169B2
公开(公告)日：2018-12-04
申请号：US15522428
申请日：2015-09-09
发明人： Keisuke Omori , Kei Tokui
摘要： Provided is an image processing device, including: a distance calculator that calculates distance information corresponding to at least one image among a plurality of input images; and an image generator that generates an output image with a shallow depth of field based on the distance information, in which the distance calculator calculates distance information from a plurality of contrast calculation regions sizes of which are different, and the image generator calculates a pixel value of an output image by smoothing a pixel value of the input image based on the distance information.
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32.发明申请公开(公告)号：US20180342073A1
公开(公告)日：2018-11-29
申请号：US15987030
申请日：2018-05-23
CPC分类号： G06T7/529 , G01N23/046 , G01N33/24 , G01V1/301 , G01V1/306 , G01V1/50 , G01V3/18 , G01V3/38 , G01V5/12 , G01V8/02 , G01V2210/624 , G01V2210/6244 , G01V2210/74 , G06K9/4642 , G06K9/6219 , G06K9/6223 , G06T7/12 , G06T7/143 , G06T7/40 , G06T7/42 , G06T2207/10081 , G06T2207/20076 , G06T2207/30181
摘要： The disclosure relates to methods and systems for analyzing an image of the formation intersected by a borehole. One of the methods determines a local apparent dip of the borehole at least at a measured depth i represented on the image, applies at least a window to the image, wherein each of the windows includes one of the measured depth i and is shaped as a function of the determined local dip at the corresponding measured depth i, compares a texture of at least a first zone of each window and a texture of at least a second zone of said window, wherein each of the first and second zones are adjacent and shaped as a function of the determined dip. Based on the comparison, the method determines at least a location of a texture boundary and derives a property of the formation. The other method includes determine locations of the texture boundaries, segmenting the image as a function of the texture boundaries, and perform clustering of the segments in order to determine a facies of the formation.
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公开(公告)号：US10121253B2
公开(公告)日：2018-11-06
申请号：US14879273
申请日：2015-10-09
发明人： Hwiryong Jung , Nahyup Kang , Jiyeon Kim , Hyong Euk Lee
摘要： Provided is a method of modeling a target object, that may obtain depth information from an image in which the target object is represented in a form of particles, obtain distance information between adjacent particles in the image, and detect a silhouette of the target object based on the depth information and the distance information between the adjacent particles in the image.
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公开(公告)号：US20180253841A1
公开(公告)日：2018-09-06
申请号：US15898728
申请日：2018-02-19
发明人： Anant Madabhushi , Cheng Lu
CPC分类号： G06T7/0012 , G06F17/18 , G06K9/00147 , G06K2209/05 , G06T7/11 , G06T7/155 , G06T7/162 , G06T7/45 , G06T7/529 , G06T7/62 , G06T7/77 , G06T2207/10024 , G06T2207/10056 , G06T2207/20072 , G06T2207/20076 , G06T2207/30024 , G06T2207/30096 , G16H30/40 , G16H50/20 , G16H50/50 , G16H50/70
摘要： Embodiments include apparatus for predicting cancer recurrence based on local co-occurrence of cell morphology (LoCoM). The apparatus includes image acquisition circuitry that identifies and segments at least one cellular nucleus represented in an image of a region of tissue demonstrating cancerous pathology; local nuclei graph (LNG) circuitry that constructs an LNG based on the at least one cellular nucleus, and computes a set of nuclear morphology features for a nucleus represented in the LNG; LoCoM circuitry that constructs a co-occurrence matrix based on the nuclear morphology features, computes a set of LoCoM features for the co-occurrence matrix, and computes a LoCoM signature for the image based on the set of LoCoM features; progression circuitry that generates a probability that the region of tissue will experience cancer progression based on the LoCoM signature, and classifies the region of tissue as a progressor or non-progressor based on the probability.
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公开(公告)号：US20180239957A1
公开(公告)日：2018-08-23
申请号：US15553710
申请日：2017-03-17
发明人： Xiaojun TANG , Jibo ZHAO
CPC分类号： G06K9/00382 , G06K9/00201 , G06K9/00375 , G06T1/60 , G06T7/11 , G06T7/529 , G06T7/543 , G06T2207/10028 , G06T2207/30196
摘要： A heuristic finger detection method based on a depth image is disclosed. The method includes the steps of: acquiring a hand connected region from a user's depth image; calculating the central point of the hand connected region; calculating a plurality of extremely far points in the hand connected region that have extremum 3D geodesic distances from the central point; detecting fingertips and finger regions from the plurality of calculated extremely far points; and outputting fingertip positions and the finger regions. The method calculates and detects fingertips of users by means of 3D geodesic distance, without extracting boundary contours of hand regions, which improves robustness of gesture detection and reduces detection error rates. The method has the advantages of higher finger detection accuracy and fast computing speed.
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36.发明授权公开(公告)号：US10051259B2
公开(公告)日：2018-08-14
申请号：US14736310
申请日：2015-06-11
申请人： Intel Corporation
发明人： Hyeong-Seok V. Ha , Yi-Jen Chiu
摘要： Systems, apparatus and methods are described related to real-time automatic conversion of 2-dimensional images or video to 3-dimensional stereo images or video.
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公开(公告)号：US10019817B2
公开(公告)日：2018-07-10
申请号：US15394121
申请日：2016-12-29
IPC分类号： G06T11/00 , G06T11/40 , G06T11/60 , G06T7/00 , G06F3/048 , G06F3/0484 , G06T7/13 , G06T7/529
CPC分类号： G06T11/001 , G06F3/04845 , G06T7/13 , G06T7/529 , G06T11/40 , G06T11/60 , G06T2200/24
摘要： Example-based edge-aware directional texture painting techniques are described. Inputs are received that define a target direction field and a plurality of edges as part of a target shape mask. A texture is synthesized from a source image by the computing device to be applied to the set of pixels of the target mask using a source shape mask and a source direction field. The source shape mask defines a plurality of edges of the source mask such that the synthesized texture applied to the plurality of edges of the target shape mask correspond to respective ones of the plurality of edges of the source shape mask. The source direction field is taken from the source image such that the synthesized texture applied to the target direction field corresponds to the source direction field. The pixels in the user interface are painted by the computing device using the synthesized texture.
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38.发明申请公开(公告)号：US20180093377A1
公开(公告)日：2018-04-05
申请号：US15827321
申请日：2017-11-30
申请人： X Development LLC
发明人： Gary Bradski , Kurt Konolige , Ethan Rublee
CPC分类号： B25J9/163 , B25J5/00 , B25J9/0093 , B25J9/1612 , B25J9/162 , B25J9/1664 , B25J9/1671 , B25J9/1687 , B25J9/1694 , B25J9/1697 , B25J19/00 , B25J19/021 , B65G41/008 , B65G47/46 , B65G47/50 , B65G61/00 , B65H67/065 , G01B11/254 , G05B2219/31312 , G05B2219/39391 , G05B2219/40053 , G05B2219/40298 , G05B2219/40442 , G05B2219/40543 , G06K9/00201 , G06K9/00664 , G06K9/3208 , G06K9/4604 , G06K9/4661 , G06K9/52 , G06K9/6202 , G06T7/13 , G06T7/529 , G06T7/55 , G06T7/593 , G06T7/60 , G06T17/00 , G06T19/003 , G06T2200/04 , H04N5/33 , H04N13/239 , H04N2013/0081 , Y10S901/01 , Y10S901/02 , Y10S901/06 , Y10S901/09 , Y10S901/47
摘要： Example methods and systems for determining 3D scene geometry by projecting patterns of light onto a scene are provided. In an example method, a first projector may project a first random texture pattern having a first wavelength and a second projector may project a second random texture pattern having a second wavelength. A computing device may receive sensor data that is indicative of an environment as perceived from a first viewpoint of a first optical sensor and a second viewpoint of a second optical sensor. Based on the received sensor data, the computing device may determine corresponding features between sensor data associated with the first viewpoint and sensor data associated with the second viewpoint. And based on the determined corresponding features, the computing device may determine an output including a virtual representation of the environment that includes depth measurements indicative of distances to at least one object.
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公开(公告)号：US20240338847A1
公开(公告)日：2024-10-10
申请号：US18747192
申请日：2024-06-18
发明人： Humberto Roa , Rammohan Akula , Fabrice Canonge , Nicholas Fjellberg Swerdlowe , Rohit Ghatol , Grif Von Holst
IPC分类号： G06T7/73 , G06F16/583 , G06T3/4084 , G06T3/608 , G06T5/50 , G06T5/70 , G06T5/80 , G06T7/13 , G06T7/30 , G06T7/529 , G06T7/70 , G06T7/90 , G06T11/00 , G06T15/04
CPC分类号： G06T7/73 , G06F16/583 , G06T3/4084 , G06T3/608 , G06T5/50 , G06T5/70 , G06T5/80 , G06T7/13 , G06T7/30 , G06T7/529 , G06T7/70 , G06T7/90 , G06T11/001 , G06T15/04 , G06F2218/00 , G06T2207/20132 , G06T2207/20192 , G06T2207/30124 , G06T2207/30204 , G06T2210/16
摘要： A material data collection system allows capturing of material data. For example, the material data collection system may include digital image data for materials. The material data collection system may ensure that captured digital image data is properly aligned, so that material data may be easily recalled for later use, while maintaining the proper alignment for the captured digital image. The material data collection system may include using a capture guide, to provide cues on how to orient a mobile device used with the material data collection system.
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公开(公告)号：US11978223B2
公开(公告)日：2024-05-07
申请号：US17556472
申请日：2021-12-20
发明人： Soonyong Cho , Yoojeong Seo , Seokhyeon Lee , Yongkoo Park , Suyoung Lee , Kilwoo Chung
CPC分类号： G06T7/529 , G06T7/55 , H04N25/00 , G06T2207/20081 , G06T2207/20084
摘要： Disclosed is an electronic device configured to generate depth information. The electronic device includes: a memory storing one or more instructions and image data; and at least one processing circuit configured to generate the depth information on the image data by executing the one or more instructions, wherein the at least one processing circuit is further configured to obtain luminance data of the image data, generate absolute depth data for the luminance data by using a first artificial neural network configured to extract disparity features, and generate the depth information based on the absolute depth data.
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