JP2022177826A - オブジェクトの相対スケールを推定する機械学習可能なモデルのトレーニング - Google Patents

オブジェクトの相対スケールを推定する機械学習可能なモデルのトレーニング Download PDF

Info

Publication number
JP2022177826A
JP2022177826A JP2022080909A JP2022080909A JP2022177826A JP 2022177826 A JP2022177826 A JP 2022177826A JP 2022080909 A JP2022080909 A JP 2022080909A JP 2022080909 A JP2022080909 A JP 2022080909A JP 2022177826 A JP2022177826 A JP 2022177826A
Authority
JP
Japan
Prior art keywords
scale
image
feature
patch
estimator
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.)
Pending
Application number
JP2022080909A
Other languages
English (en)
Japanese (ja)
Other versions
JP2022177826A5 (https=
Inventor
ソスノヴィク イヴァン
Sosnovik Ivan
スメルダース アーノルト
Smeulders Arnold
グロー コンラート
Groh Konrad
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.)
Robert Bosch GmbH
Original Assignee
Robert Bosch GmbH
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 Robert Bosch GmbH filed Critical Robert Bosch GmbH
Publication of JP2022177826A publication Critical patent/JP2022177826A/ja
Publication of JP2022177826A5 publication Critical patent/JP2022177826A5/ja
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00—Program-controlled manipulators
    • B25J9/16—Program controls
    • B25J9/1694—Program controls characterised by use of sensors other than normal servo-feedback from position, speed or acceleration sensors, perception control, multi-sensor controlled systems, sensor fusion
    • B25J9/1697—Vision controlled systems
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/33—Director till display
    • G05B2219/33034—Online learning, training
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/35—Nc in input of data, input till input file format
    • G05B2219/35074—Display object, recognition of geometric forms
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/20—Control system inputs
    • G05D1/22—Command input arrangements
    • G05D1/221—Remote-control arrangements
    • G05D1/227—Handing over between remote control and on-board control; Handing over between remote control arrangements
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • General Health & Medical Sciences (AREA)
  • Geometry (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Automation & Control Theory (AREA)
  • Image Analysis (AREA)
JP2022080909A 2021-05-18 2022-05-17 オブジェクトの相対スケールを推定する機械学習可能なモデルのトレーニング Pending JP2022177826A (ja)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102021205034.4A DE102021205034A1 (de) 2021-05-18 2021-05-18 Trainieren eines maschinenlernfähigen modells zur schätzung des relativen objektmassstabs
DE102021205034.4 2021-05-18

Publications (2)

Publication Number Publication Date
JP2022177826A true JP2022177826A (ja) 2022-12-01
JP2022177826A5 JP2022177826A5 (https=) 2025-05-20

Family

ID=83898785

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2022080909A Pending JP2022177826A (ja) 2021-05-18 2022-05-17 オブジェクトの相対スケールを推定する機械学習可能なモデルのトレーニング

Country Status (5)

Country Link
US (1) US12125228B2 (https=)
JP (1) JP2022177826A (https=)
KR (1) KR20220156470A (https=)
CN (1) CN115375908A (https=)
DE (1) DE102021205034A1 (https=)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116089428A (zh) * 2023-01-05 2023-05-09 长城汽车股份有限公司 一种比例尺显示方法、系统、电子设备、车辆及存储介质
US12614406B2 (en) * 2023-07-11 2026-04-28 Capital One Services, Llc Systems and methods for applying scale factors to image objects

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020201746A (ja) * 2019-06-11 2020-12-17 トヨタ自動車株式会社 距離推定装置、距離推定方法及び距離推定用コンピュータプログラム
US20210042946A1 (en) * 2018-05-03 2021-02-11 Robert Bosch Gmbh Method and device for ascertaining a depth information image from an input image

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8625902B2 (en) 2010-07-30 2014-01-07 Qualcomm Incorporated Object recognition using incremental feature extraction
EP3965009A1 (en) 2020-09-08 2022-03-09 Robert Bosch GmbH Device and method for training a scale-equivariant convolutional neural network

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210042946A1 (en) * 2018-05-03 2021-02-11 Robert Bosch Gmbh Method and device for ascertaining a depth information image from an input image
JP2020201746A (ja) * 2019-06-11 2020-12-17 トヨタ自動車株式会社 距離推定装置、距離推定方法及び距離推定用コンピュータプログラム

Also Published As

Publication number Publication date
DE102021205034A1 (de) 2022-11-24
CN115375908A (zh) 2022-11-22
KR20220156470A (ko) 2022-11-25
US12125228B2 (en) 2024-10-22
US20220375113A1 (en) 2022-11-24

Similar Documents

Publication Publication Date Title
US12008797B2 (en) Image segmentation method and image processing apparatus
US11315266B2 (en) Self-supervised depth estimation method and system
JP7723159B2 (ja) 自己注意ベースのニューラルネットワークを使用した画像処理
JP7439153B2 (ja) 全方位場所認識のためのリフトされたセマンティックグラフ埋め込み
CN113168510B (zh) 通过细化形状先验分割对象
US12026892B2 (en) Figure-ground neural radiance fields for three-dimensional object category modelling
Jaritz et al. Sparse and dense data with cnns: Depth completion and semantic segmentation
Li et al. Deep joint image filtering
CN112241784B (zh) 训练生成模型和判别模型
US9418458B2 (en) Graph image representation from convolutional neural networks
CN118202391A (zh) 从单二维视图进行对象类的神经辐射场生成式建模
US20170371329A1 (en) Multi-modal sensor data fusion for perception systems
CN116210030A (zh) 基于半监督关键点的模型
JP7715533B2 (ja) 差分に予測可能に応答する機能のトレーニング
CN113963227A (zh) 包括非单射变换的图像分类器
US20240362818A1 (en) Method and device with determining pose of target object in query image
US11625846B2 (en) Systems and methods for training a machine-learning-based monocular depth estimator
WO2021156511A1 (en) Recurrent unit for generating or processing a sequence of images
JP2022177826A (ja) オブジェクトの相対スケールを推定する機械学習可能なモデルのトレーニング
US20230007964A1 (en) Method and apparatus with image transformation
Ma et al. Depth estimation from single image using CNN-residual network
JP6468328B2 (ja) ビジュアルオドメトリ方法及び装置
EP4187483A1 (en) Apparatus and method with image processing
US12541919B2 (en) Method and device with synthetic image generation
CN116682088B (zh) 一种基于对象成像方法的自动驾驶3d目标检测方法及装置

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20220819

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20250512

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20250512

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20260225

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20260310