公开(公告)号：US20180144212A1

公开(公告)日：2018-05-24

申请号：US15574299

申请日：2016-05-20

Applicant: THOMSON Licensing

Inventor： Xavier BURGOS ,  Cristina BORDEI ,  Francois LE CLERC

IPC: G06K9/62 ,  G06K9/00 ,  G06T5/50

CPC classification number: G06K9/6223 ,  G06K9/00201 ,  G06K9/00275 ,  G06K9/00281 ,  G06K9/00308 ,  G06K9/00315 ,  G06T5/50 ,  G06T11/001 ,  G06T2207/20221

Abstract: A method of generating a first image, the method including, for each second image of a set of second images representative of an object, obtaining an information representative of a shape of the object; clustering the second images into a plurality of clusters according to the information; for each cluster of the plurality of clusters, generating the first image using the information associated with each second image of the cluster, the first image being representative of the cluster. A corresponding device is also recited.

公开(公告)号：US20180144183A1

公开(公告)日：2018-05-24

申请号：US15568390

申请日：2016-04-21

Applicant: Friedrich KISTERS

Inventor： Friedrich KISTERS

IPC: G06K9/00 ,  G06K9/62 ,  G06T15/20 ,  G06K9/34 ,  G06K9/20

CPC classification number: G06K9/00201 ,  B42D25/29 ,  G06K9/00577 ,  G06K9/2036 ,  G06K9/34 ,  G06K9/6202 ,  G06K9/623 ,  G06T15/205 ,  G07D7/121 ,  G07D7/202

Abstract: The present invention relates to a method for identification a security pattern by converting two-dimensional (2-D) images or a real existing 3-D model into an artificial three-dimensional (3-D) reconstruction via an analysis of the surface structures, colour information (colour and/or colour intensity), and depth information of the detected security pattern. The method is characterized by the following steps: generating an elevation model by determining the surface normal per pixel for the three coordinate axes (x, y, z) from the detected 2-D images or the 3-D model, analyzing the pixel intensity of the detected 2-D images or the 3-D model on the basis of the shadow and the reflection behaviour, and generating the artificial 3-D reconstruction from the pixel intensity, wherein a non-reproducible artificial 3-D surface is generated according to the pixel intensity or the brightness level. The colour information obtained in this manner is incorporated into the depth information of the artificial 3-D reconstruction.

公开(公告)号：US09979858B2

公开(公告)日：2018-05-22

申请号：US14798855

申请日：2015-07-14

Applicant: CANON KABUSHIKI KAISHA

Inventor： Akinori Ohi

IPC: H04N1/60 ,  G06F3/03 ,  H04N1/387 ,  H04N5/33 ,  H04N9/04 ,  G06T7/13 ,  G06K9/00 ,  G06K9/46

CPC classification number: H04N1/6005 ,  G06F3/0304 ,  G06F2203/04101 ,  G06K9/00201 ,  G06K9/00463 ,  G06K9/4604 ,  G06K9/4633 ,  G06T7/13 ,  G06T2200/24 ,  G06T2207/10008 ,  G06T2207/30176 ,  H04N1/00827 ,  H04N1/19594 ,  H04N1/3873 ,  H04N5/33 ,  H04N9/045 ,  H04N2201/0434 ,  H04N2201/0456

Abstract: To specify a contour to be detected even when there are a plurality of candidates of the contour on the periphery of a photographing target, an image processing apparatus comprises: a determining unit which detects a plurality of candidate points being the candidates of the contour of a subject based on distance image information of the subject in an image, and determines an inspection-target area in the image based on the detected candidate points; and a specifying unit which detects line segments existing in the inspection-target area determined by the determining unit, based on luminance information of the inspection-target area, and specifies the line segment being the contour of the subject based on the candidate point from the detected line segments.

公开(公告)号：US20180135972A1

公开(公告)日：2018-05-17

申请号：US15350473

申请日：2016-11-14

Applicant: Waymo LLC

Inventor： Nirmal Patel

IPC: G01B11/24 ,  B60K35/00 ,  G05D1/02 ,  G06K9/00 ,  G01S17/93 ,  G01S17/42 ,  G01B11/02

CPC classification number: G01B11/24 ,  B60K35/00 ,  B60K2370/16 ,  G01B11/02 ,  G01C21/30 ,  G01C21/3697 ,  G01S17/42 ,  G01S17/936 ,  G05D1/024 ,  G06K9/00201 ,  G06K9/00798 ,  G06K9/00805 ,  G06T19/006

Abstract: The technology relates to generating a representation of an object detected by a perception system of a vehicle. For instance, a set of data points corresponding to an object is received from the perception system. Map information identifying shapes and locations of lanes as well as locations of center points for the lanes is retrieved. A representative point of the center points is selected based on the set of data points. A first position is determined based on the location of the representative point. A second position is determined based on the set of data points. The first and second positions are used to determine a third position for a representation of the object based on a distance the first position and the second position. The he representation of the object is generated using the third position. The representation of the object is displayed on a display of the vehicle

公开(公告)号：US20180129910A1

公开(公告)日：2018-05-10

申请号：US15709748

申请日：2017-09-20

Applicant: NEC Laboratories America, Inc.

Inventor： Muhammad Zeeshan Zia ,  Quoc-Huy Tran ,  Xiang Yu ,  Manmohan Chandraker ,  Chi Li

IPC: G06K9/62 ,  G06T15/40 ,  G06K9/00 ,  G06N3/02 ,  G06F17/50

CPC classification number: G06K9/6256 ,  B60T2201/022 ,  B60W30/00 ,  G05D1/0221 ,  G06F17/5009 ,  G06K9/00201 ,  G06K9/00208 ,  G06K9/00624 ,  G06K9/00771 ,  G06K9/00805 ,  G06K9/4628 ,  G06K9/6255 ,  G06N3/02 ,  G06N3/084 ,  G06T7/55 ,  G06T7/74 ,  G06T11/60 ,  G06T15/10 ,  G06T15/40 ,  G06T2207/20101 ,  G06T2207/30261 ,  G06T2210/22 ,  G08G1/0962 ,  G08G1/166 ,  H04N7/00

Abstract: A system and method are provided. The system includes an image capture device configured to capture an actual image depicting an object. The system also includes a processor. The processor is configured to render, based on a set of 3D Computer Aided Design (CAD) models, a set of synthetic images with corresponding intermediate shape concept labels. The processor is also configured to form a multi-layer Convolutional Neural Network (CNN) which jointly models multiple intermediate shape concepts, based on the rendered synthetic images. The processor is further configured to perform an intra-class appearance variation-aware and occlusion-aware 3D object parsing on the actual image by applying the CNN to the actual image to output an image pair including a 2D geometric structure and a 3D geometric structure of the object depicted in the actual image.

公开(公告)号：US09959465B2

公开(公告)日：2018-05-01

申请号：US13923135

申请日：2013-06-20

Applicant: Microsoft Technology Licensing, LLC

Inventor： Andreas Georgiou ,  Joel Steven Kollin ,  Sing Bing Kang

IPC: G02B13/14 ,  G02B5/18 ,  G02B27/44 ,  G06K9/00 ,  H04N5/33 ,  G06K9/62 ,  G06F11/30 ,  G06F3/06 ,  G06F9/30 ,  G06F12/02 ,  G06F12/00 ,  B29C64/386 ,  H04N13/02 ,  H04N13/00 ,  G02B27/42 ,  H04N5/225 ,  H04N9/04 ,  H04N17/00 ,  G01B11/25 ,  G01B11/22 ,  G06T1/60 ,  G06T7/00 ,  G06T7/586 ,  B29C64/00 ,  A63F13/213

CPC classification number: G06K9/00536 ,  A63F13/213 ,  B29C64/00 ,  B29C64/386 ,  G01B11/22 ,  G01B11/25 ,  G01B11/2513 ,  G01B11/2527 ,  G01B11/2545 ,  G02B5/1895 ,  G02B27/4205 ,  G02B27/4233 ,  G02B27/44 ,  G06F3/0653 ,  G06F3/0659 ,  G06F3/0683 ,  G06F9/3004 ,  G06F9/30043 ,  G06F9/30127 ,  G06F11/3024 ,  G06F12/00 ,  G06F12/02 ,  G06F12/0207 ,  G06F12/0292 ,  G06K9/00201 ,  G06K9/0063 ,  G06K9/62 ,  G06T1/60 ,  G06T7/00 ,  G06T7/586 ,  G06T2207/30244 ,  H04N5/2256 ,  H04N5/33 ,  H04N5/332 ,  H04N9/045 ,  H04N13/128 ,  H04N13/239 ,  H04N13/25 ,  H04N13/254 ,  H04N13/271 ,  H04N17/002 ,  H04N2013/0081

Abstract: Aspects of the subject disclosure are directed towards safely projecting a diffracted light pattern, such as in an infrared laser-based projection/illumination system. Non-diffracted (zero-order) light is refracted once to diffuse (defocus) the non-diffracted light to an eye safe level. Diffracted (non-zero-order) light is aberrated twice, e.g., once as part of diffraction by a diffracting optical element encoded with a Fresnel lens (which does not aberrate the non-diffracted light), and another time to cancel out the other aberration; the two aberrations may occur in either order. Various alternatives include upstream and downstream positioning of the diffracting optical element relative to a refractive optical element, and/or refraction via positive and negative lenses.

公开(公告)号：US20180112978A1

公开(公告)日：2018-04-26

申请号：US15621944

申请日：2017-06-13

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： NICK BURTON ,  VU NGUYEN

IPC: G01C11/02 ,  G06K9/22 ,  G06F17/30

CPC classification number: G01C11/025 ,  G01C11/04 ,  G06F16/907 ,  G06K9/00201 ,  G06K9/224 ,  G06K2209/27 ,  G06K2209/40 ,  G06T7/579

Abstract: Approaches to generating photogrammetry data are provided. In some implementations, a capture device captures a sequence of images of a physical environment while device poses of the capture device are tracked as the capture device moves around the physical environment. For each of image of images in the sequence of images, a corresponding device pose is stored as metadata of the image. Using photogrammetry, a three-dimensional (3D) model of the physical environment is generated from the images, where the photogrammetry uses for each image of the images, the corresponding device pose from the metadata of the image to generate the 3D model. In further respects, a user feedback loop can be used to direct a user to move the capture device to particular device poses for the capture of the images. Further camera properties used to capture an image may be stored in its metadata and used by the photogrammetry.

公开(公告)号：US20180107894A1

公开(公告)日：2018-04-19

申请号：US15844258

申请日：2017-12-15

Applicant: Nant Holdings IP, LLC

Inventor： Bing Song ,  Nicholas J. Witchey

IPC: G06K9/48 ,  G06K9/62 ,  G06F17/30 ,  G06K9/00 ,  G06T5/40 ,  G06T3/40 ,  G06K9/46

CPC classification number: G06K9/481 ,  G06F17/30256 ,  G06F17/3028 ,  G06K9/00201 ,  G06K9/4604 ,  G06K9/4671 ,  G06K9/48 ,  G06K9/6212 ,  G06K9/6214 ,  G06K9/6215 ,  G06T3/40 ,  G06T3/403 ,  G06T5/40 ,  G06T7/13 ,  G06T7/143 ,  G06T7/181 ,  G06T7/248 ,  G06T2207/10004 ,  G06T2207/10016 ,  G06T2207/10028 ,  G06T2207/10116 ,  G06T2207/20076 ,  G06T2207/20164 ,  G06T2207/30004

Abstract: Techniques are provided in which a plurality of edges are detected within a digital image. An anchor point located along an edge of the plurality of edges is selected. An analysis grid associated with the anchor point is generated, the analysis grid including a plurality of cells. An anchor point normal vector comprising a normal vector of the edge at the anchor point is calculated. Edge pixel normal vectors comprising normal vectors of the edge at locations along the edge within the cells of the analysis grid are calculated. A histogram of similarity is generated for each of one or more cells of the analysis grid, each histogram of similarity being based on a similarity measure between each of the edge pixel normal vectors within a cell and the anchor point normal vector, and a descriptor is generated for the analysis grid based on the histograms of similarity.

公开(公告)号：US09946922B2

公开(公告)日：2018-04-17

申请号：US14255119

申请日：2014-04-17

Applicant: Tokitae LLC

Inventor： Roderick A. Hyde ,  3ric Johanson ,  Jordin T. Kare ,  Artyom Makagon ,  Emma Rae Mullen ,  Nathan P. Myhrvold ,  Thomas J. Nugent, Jr. ,  Nathan John Pegram ,  Nels R. Peterson ,  Phillip Rutschman ,  Lowell L. Wood, Jr.

IPC: G06K9/00 ,  G06T7/20 ,  A01M1/02 ,  A01M1/10 ,  A01M1/22

CPC classification number: G06K9/00362 ,  A01M1/026 ,  A01M1/106 ,  A01M1/226 ,  G06K9/00201 ,  G06T7/20

Abstract: A system for tracking airborne organisms includes an imager, a backlight source (such as a retroreflective surface) in view of the imager, and a processor configured to analyze one or more images captured by the processor to identify a biological property of an organism.

公开(公告)号：US20180102005A1

公开(公告)日：2018-04-12

申请号：US15729929

申请日：2017-10-11

Applicant: Sensormatic Electronics, LLC

Inventor： Robert Esposito ,  James Trani

IPC: G07C9/00 ,  G06K9/00 ,  G06F3/01 ,  G01C3/02

CPC classification number: G07C9/00087 ,  G01C3/02 ,  G06F3/017 ,  G06F3/0304 ,  G06K9/00201 ,  G06K9/00369 ,  G06K9/00771 ,  G07C9/00111 ,  G07C9/00571

Abstract: An access control and user tracking system includes ranging cameras installed in thresholds of access points for generating three dimensional models of users passing through the access points in order to detect unauthorized individuals or hand gestures of the users, which can indicate unsafe conditions or that lights and/or equipment should be turned on. The ranging cameras can be point range finding measurement sensor scanning cameras, structured light cameras, or time of flight cameras and can be installed along the top or in the corners of the thresholds.