JP6489552B2 - シーン内の寸法を求める方法 - Google Patents

シーン内の寸法を求める方法 Download PDF

Info

Publication number
JP6489552B2
JP6489552B2 JP2016056626A JP2016056626A JP6489552B2 JP 6489552 B2 JP6489552 B2 JP 6489552B2 JP 2016056626 A JP2016056626 A JP 2016056626A JP 2016056626 A JP2016056626 A JP 2016056626A JP 6489552 B2 JP6489552 B2 JP 6489552B2
Authority
JP
Japan
Prior art keywords
plane
planes
scene
depth image
sensor
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
JP2016056626A
Other languages
English (en)
Japanese (ja)
Other versions
JP2016212086A (ja
JP2016212086A5 (enExample
Inventor
ヨン・シャオ
チェン・フェン
田口 裕一
裕一 田口
ビニート・アール・カマト
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Mitsubishi Electric Corp
Original Assignee
Mitsubishi Electric Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Mitsubishi Electric Corp filed Critical Mitsubishi Electric Corp
Publication of JP2016212086A publication Critical patent/JP2016212086A/ja
Publication of JP2016212086A5 publication Critical patent/JP2016212086A5/ja
Application granted granted Critical
Publication of JP6489552B2 publication Critical patent/JP6489552B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • G06T7/62Analysis of geometric attributes of area, perimeter, diameter or volume
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • G06F18/231Hierarchical techniques, i.e. dividing or merging pattern sets so as to obtain a dendrogram
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/12Edge-based segmentation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • G06T7/73Determining position or orientation of objects or cameras using feature-based methods
    • G06T7/75Determining position or orientation of objects or cameras using feature-based methods involving models
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/762Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • G06V10/7625Hierarchical techniques, i.e. dividing or merging patterns to obtain a tree-like representation; Dendograms
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00Indexing scheme for image data processing or generation, in general
    • G06T2200/04Indexing scheme for image data processing or generation, in general involving 3D image data
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10028Range image; Depth image; 3D point clouds
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30244Camera pose

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Multimedia (AREA)
  • Artificial Intelligence (AREA)
  • Geometry (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Image Analysis (AREA)
  • Measurement Of Optical Distance (AREA)
JP2016056626A 2015-04-28 2016-03-22 シーン内の寸法を求める方法 Active JP6489552B2 (ja)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US14/698,200 2015-04-28
US14/698,200 US9761015B2 (en) 2015-04-28 2015-04-28 Method for determining dimensions in an indoor scene from a single depth image

Publications (3)

Publication Number Publication Date
JP2016212086A JP2016212086A (ja) 2016-12-15
JP2016212086A5 JP2016212086A5 (enExample) 2019-01-24
JP6489552B2 true JP6489552B2 (ja) 2019-03-27

Family

ID=57205763

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2016056626A Active JP6489552B2 (ja) 2015-04-28 2016-03-22 シーン内の寸法を求める方法

Country Status (3)

Country Link
US (1) US9761015B2 (enExample)
JP (1) JP6489552B2 (enExample)
CN (1) CN106091921B (enExample)

Families Citing this family (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9858681B2 (en) * 2014-10-27 2018-01-02 Digimarc Corporation Signal detection, recognition and tracking with feature vector transforms
US9807365B2 (en) * 2015-12-08 2017-10-31 Mitsubishi Electric Research Laboratories, Inc. System and method for hybrid simultaneous localization and mapping of 2D and 3D data acquired by sensors from a 3D scene
US10721451B2 (en) * 2016-03-23 2020-07-21 Symbol Technologies, Llc Arrangement for, and method of, loading freight into a shipping container
US10445861B2 (en) * 2017-02-14 2019-10-15 Qualcomm Incorporated Refinement of structured light depth maps using RGB color data
JP2018156617A (ja) * 2017-03-15 2018-10-04 株式会社東芝 処理装置および処理システム
US10803663B2 (en) 2017-08-02 2020-10-13 Google Llc Depth sensor aided estimation of virtual reality environment boundaries
WO2019032736A1 (en) 2017-08-08 2019-02-14 Smart Picture Technologies, Inc. METHOD OF MEASURING AND MODELING SPACES USING AUGMENTED REALITY WITHOUT MARKER
US10733762B2 (en) * 2018-04-04 2020-08-04 Motorola Mobility Llc Dynamically calibrating a depth sensor
WO2019222255A1 (en) * 2018-05-14 2019-11-21 Sri International Computer aided inspection system and methods
CN109000559B (zh) * 2018-06-11 2020-09-11 广东工业大学 一种物体体积的测量方法、装置、系统和可读存储介质
CA3027921C (en) * 2018-06-25 2022-04-12 Beijing Didi Infinity Technology And Development Co., Ltd. Integrated sensor calibration in natural scenes
CN109682304A (zh) * 2019-02-02 2019-04-26 北京理工大学 一种基于ccd相机对位装配系统的综合误差建模方法
AU2020274025B2 (en) 2019-05-10 2022-10-20 Smart Picture Technologies, Inc. Methods and systems for measuring and modeling spaces using markerless photo-based augmented reality process
CN110853080A (zh) * 2019-09-30 2020-02-28 广西慧云信息技术有限公司 一种田间果实尺寸的测量方法
CN111412842B (zh) * 2020-04-09 2022-02-25 广东博智林机器人有限公司 墙面的截面尺寸的测量方法及装置、系统
CN111914901A (zh) * 2020-07-06 2020-11-10 周爱丽 座椅排列整齐度测量系统及方法
CN113220018B (zh) * 2021-04-23 2023-03-28 上海发电设备成套设计研究院有限责任公司 一种无人机路径规划方法、装置、存储介质及电子设备
US11568614B1 (en) 2021-08-02 2023-01-31 Bank Of America Corporation Adaptive augmented reality system for dynamic processing of spatial component parameters based on detecting accommodation factors in real time
JP7675605B2 (ja) 2021-09-15 2025-05-13 株式会社東芝 壁検出装置、搬送車両、制御方法、プログラム及び演算装置

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3855812B2 (ja) * 2002-03-15 2006-12-13 ソニー株式会社 距離計測方法、その装置、そのプログラム、その記録媒体及び距離計測装置搭載型ロボット装置
US8655052B2 (en) * 2007-01-26 2014-02-18 Intellectual Discovery Co., Ltd. Methodology for 3D scene reconstruction from 2D image sequences
JP4535096B2 (ja) * 2007-07-27 2010-09-01 ソニー株式会社 平面抽出方法、その装置、そのプログラム、その記録媒体及び撮像装置
US8908913B2 (en) * 2011-12-19 2014-12-09 Mitsubishi Electric Research Laboratories, Inc. Voting-based pose estimation for 3D sensors
JP5838355B2 (ja) * 2012-06-20 2016-01-06 パナソニックIpマネジメント株式会社 空間情報検出装置、人位置検出装置
US9230339B2 (en) * 2013-01-07 2016-01-05 Wexenergy Innovations Llc System and method of measuring distances related to an object
CN103106688B (zh) * 2013-02-20 2016-04-27 北京工业大学 基于双层配准方法的室内三维场景重建方法
US9984177B2 (en) * 2013-05-31 2018-05-29 Panasonic Intellectual Property Management Co., Ltd. Modeling device, three-dimensional model generation device, modeling method, program and layout simulator
JP5799273B2 (ja) * 2013-10-02 2015-10-21 パナソニックIpマネジメント株式会社 寸法計測装置、寸法計測方法、寸法計測システム、プログラム

Also Published As

Publication number Publication date
US20160321827A1 (en) 2016-11-03
JP2016212086A (ja) 2016-12-15
US9761015B2 (en) 2017-09-12
CN106091921A (zh) 2016-11-09
CN106091921B (zh) 2019-06-18

Similar Documents

Publication Publication Date Title
JP6489552B2 (ja) シーン内の寸法を求める方法
Borrmann et al. A mobile robot based system for fully automated thermal 3D mapping
Hong et al. Semi-automated approach to indoor mapping for 3D as-built building information modeling
KR102447461B1 (ko) 다방향 카메라를 이용한 밀폐 공간에 대한 치수 추정
Braun et al. A concept for automated construction progress monitoring using bim-based geometric constraints and photogrammetric point clouds.
US9984177B2 (en) Modeling device, three-dimensional model generation device, modeling method, program and layout simulator
JP6238183B2 (ja) モデリング装置、3次元モデル生成装置、モデリング方法、プログラム
Fernandez-Moral et al. Extrinsic calibration of a set of range cameras in 5 seconds without pattern
Ibrahim et al. Metrics and methods for evaluating model‐driven reality capture plans
Gong et al. Extrinsic calibration of a 3D LIDAR and a camera using a trihedron
Schaub et al. Point cloud to BIM registration for robot localization and Augmented Reality
Díaz-Vilariño et al. Door recognition in cluttered building interiors using imagery and LiDAR data
Braun et al. Towards automated construction progress monitoring using BIM-based point cloud processing
Muharom et al. Real-Time 3D Modeling and Visualization Based on RGB-D Camera using RTAB-Map through Loop Closure
Gu et al. Truss member registration for implementing autonomous gripping in biped climbing robots
Gallegos et al. Appearance-based slam relying on a hybrid laser/omnidirectional sensor
Shen et al. Automatic Scan Planning and Construction Progress Monitoring in Unknown Building Scene
Hu et al. Image projection onto flat LiDAR point cloud surfaces to create dense and smooth 3D color maps
Pargieła et al. Application of mobile laser scanner to augment stationary collected point clouds
Reich et al. On-line compatible orientation of a micro-uav based on image triplets
CN118823764B (zh) 一种电力设备巡检盲区的识别方法及装置
Kotthäuser et al. Automatic reconstruction of polygonal room models from 3d point clouds
Zhao et al. A Building Information Modeling (BIM)-Enabled Robotic System for Automated Indoor Construction Progress Monitoring
US20250322600A1 (en) Fit rooms
Zheng et al. An efficient and practical calibration method for roadside camera using two vanishing points

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20181206

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20181206

A871 Explanation of circumstances concerning accelerated examination

Free format text: JAPANESE INTERMEDIATE CODE: A871

Effective date: 20181206

A975 Report on accelerated examination

Free format text: JAPANESE INTERMEDIATE CODE: A971005

Effective date: 20190108

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20190122

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20190219

R150 Certificate of patent or registration of utility model

Ref document number: 6489552

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250