公开(公告)号：US20190295272A1

公开(公告)日：2019-09-26

申请号：US15928520

申请日：2018-03-22

Applicant: Adobe Inc.

Inventor： Duygu Ceylan Aksit ,  Zhili Chen ,  Jose Ignacio Echevarria Vallespi ,  Kyle Olszewski

IPC: G06T7/529 ,  G06K9/00 ,  G06T15/04

Abstract: Certain embodiments involve synthesizing image content depicting facial hair or other hair features based on orientation data obtained using guidance inputs or other user-provided guidance data. For instance, a graphic manipulation application accesses guidance data identifying a desired hair feature and an appearance exemplar having image data with color information for the desired hair feature. The graphic manipulation application transforms the guidance data into an input orientation map. The graphic manipulation application matches the input orientation map to an exemplar orientation map having a higher resolution than the input orientation map. The graphic manipulation application generates the desired hair feature by applying the color information from the appearance exemplar to the exemplar orientation map. The graphic manipulation application outputs the desired hair feature at a presentation device.

公开(公告)号：US10147169B2

公开(公告)日：2018-12-04

申请号：US15522428

申请日：2015-09-09

Applicant: Sharp Kabushiki Kaisha

Inventor： Keisuke Omori ,  Kei Tokui

IPC: G06T5/00 ,  G06T7/529 ,  H04N5/232 ,  H04N5/235 ,  G06T5/50 ,  G06T7/571

Abstract: 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.

公开(公告)号：US20180342073A1

公开(公告)日：2018-11-29

申请号：US15987030

申请日：2018-05-23

Applicant: Schlumberger Technology Corporation

Inventor： Yuki Matsumura ,  Tetsushi Yamada ,  Josselin Kherroubi ,  Isabelle Le Nir

IPC: G06T7/529 ,  G01V8/02 ,  G01V3/38 ,  G01V5/12 ,  G01V1/30 ,  G01N23/046 ,  G01N33/24 ,  G06T7/40

CPC classification number: 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

Abstract: 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.

公开(公告)号：US10121253B2

公开(公告)日：2018-11-06

申请号：US14879273

申请日：2015-10-09

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hwiryong Jung ,  Nahyup Kang ,  Jiyeon Kim ,  Hyong Euk Lee

IPC: G06T5/00 ,  G06T7/00 ,  G06T13/60 ,  G06T17/10 ,  G06T7/529 ,  G06T7/12

Abstract: 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.

公开(公告)号：US20180253841A1

公开(公告)日：2018-09-06

申请号：US15898728

申请日：2018-02-19

Applicant: Case Western Reserve University

Inventor： Anant Madabhushi ,  Cheng Lu

IPC: G06T7/00 ,  G06T7/45 ,  G16H50/20 ,  G06T7/62 ,  G06T7/77 ,  G06T7/529 ,  G06K9/00 ,  G06F17/18

CPC classification number: 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

Abstract: 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.

公开(公告)号：US20180239957A1

公开(公告)日：2018-08-23

申请号：US15553710

申请日：2017-03-17

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Xiaojun TANG ,  Jibo ZHAO

IPC: G06K9/00 ,  G06T7/529 ,  G06T7/11 ,  G06T7/543 ,  G06T1/60

CPC classification number: G06K9/00382 ,  G06K9/00201 ,  G06K9/00375 ,  G06T1/60 ,  G06T7/11 ,  G06T7/529 ,  G06T7/543 ,  G06T2207/10028 ,  G06T2207/30196

Abstract: 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.

公开(公告)号：US10051259B2

公开(公告)日：2018-08-14

申请号：US14736310

申请日：2015-06-11

Applicant: Intel Corporation

Inventor： Hyeong-Seok V. Ha ,  Yi-Jen Chiu

IPC: H04N13/02 ,  G06T5/00 ,  G06T3/40 ,  G06T7/00 ,  G06T7/529

Abstract: 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.

公开(公告)号：US10019817B2

公开(公告)日：2018-07-10

申请号：US15394121

申请日：2016-12-29

Applicant: Adobe Systems Incorporated

Inventor： Paul J. Asente ,  Jingwan Lu ,  Michal Luká{hacek over (c)} ,  Elya Schechtman

IPC: G06T11/00 ,  G06T11/40 ,  G06T11/60 ,  G06T7/00 ,  G06F3/048 ,  G06F3/0484 ,  G06T7/13 ,  G06T7/529

CPC classification number: G06T11/001 ,  G06F3/04845 ,  G06T7/13 ,  G06T7/529 ,  G06T11/40 ,  G06T11/60 ,  G06T2200/24

Abstract: 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.

公开(公告)号：US20180093377A1

公开(公告)日：2018-04-05

申请号：US15827321

申请日：2017-11-30

Applicant: X Development LLC

Inventor： Gary Bradski ,  Kurt Konolige ,  Ethan Rublee

IPC: B25J9/16 ,  B25J5/00 ,  G06T7/593 ,  G06T7/529 ,  B25J9/00 ,  G06K9/52 ,  G01B11/25 ,  G06K9/46

CPC classification number: 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

Abstract: 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.

公开(公告)号：US20240410689A1

公开(公告)日：2024-12-12

申请号：US18811454

申请日：2024-08-21

Applicant: Chengdu University of Technology

Inventor： Wenli ZHONG ,  Zhongguo FU ,  Xuehua CHEN ,  Cuihua CHEN

IPC: G01B11/30 ,  G01B9/04 ,  G06T7/40 ,  G06T7/529

Abstract: A method for extracting surface morphology and fabric characteristics of rock ores and minerals, which includes the following steps. An adaptive two-dimensional (2D) structure enhancement filter operator and its filter aperture in the spatial domain are constructed based on confocal microscopic image data of a rock sample. Attribute data that retains and accentuates structural features of the rock sample is obtained through azimuth scanning. A data-driven higher-order nonlinear spline smoothing function of 2D elevation data is established to determine the optimal 2D localized spline smoothing function. After that, the positive and negative morphology attributes of the surface of the rock sample are calculated, so as to accurately, reliably and quantitatively characterize the surface morphology and fabric characteristics of the rock sample.