TWI797571B - 用於自單一影像判定可遍歷空間之電腦實施方法及電腦可讀儲存媒體 - Google Patents
用於自單一影像判定可遍歷空間之電腦實施方法及電腦可讀儲存媒體 Download PDFInfo
- Publication number
- TWI797571B TWI797571B TW110108388A TW110108388A TWI797571B TW I797571 B TWI797571 B TW I797571B TW 110108388 A TW110108388 A TW 110108388A TW 110108388 A TW110108388 A TW 110108388A TW I797571 B TWI797571 B TW I797571B
- Authority
- TW
- Taiwan
- Prior art keywords
- traversable
- image
- depth map
- space
- visible
- Prior art date
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating three-dimensional [3D] models or images for computer graphics
- G06T19/006—Mixed reality
-
- 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
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
-
- 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
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0268—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
- G05D1/0274—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means using mapping information stored in a memory device
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three-dimensional [3D] modelling for computer graphics
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating three-dimensional [3D] models or images for computer graphics
- G06T19/20—Editing of three-dimensional [3D] images, e.g. changing shapes or colours, aligning objects or positioning parts
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
-
- 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
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
-
- 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
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
-
- 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
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- 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
- G06T2219/00—Indexing scheme for manipulating 3D models or images for computer graphics
- G06T2219/20—Indexing scheme for editing of 3D models
- G06T2219/2004—Aligning objects, relative positioning of parts
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Computer Graphics (AREA)
- Computer Hardware Design (AREA)
- Computing Systems (AREA)
- Data Mining & Analysis (AREA)
- Medical Informatics (AREA)
- Mathematical Physics (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Radar, Positioning & Navigation (AREA)
- Architecture (AREA)
- Databases & Information Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Aviation & Aerospace Engineering (AREA)
- Remote Sensing (AREA)
- Automation & Control Theory (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Geometry (AREA)
- Processing Or Creating Images (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
- Control And Safety Of Cranes (AREA)
- Valve Device For Special Equipments (AREA)
- Shafts, Cranks, Connecting Bars, And Related Bearings (AREA)
- Traffic Control Systems (AREA)
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202062987849P | 2020-03-10 | 2020-03-10 | |
| US62/987,849 | 2020-03-10 | ||
| US17/193,878 US11741675B2 (en) | 2020-03-10 | 2021-03-05 | Determining traversable space from single images |
| US17/193,878 | 2021-03-05 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| TW202147179A TW202147179A (zh) | 2021-12-16 |
| TWI797571B true TWI797571B (zh) | 2023-04-01 |
Family
ID=77665508
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| TW110108388A TWI797571B (zh) | 2020-03-10 | 2021-03-09 | 用於自單一影像判定可遍歷空間之電腦實施方法及電腦可讀儲存媒體 |
Country Status (9)
| Country | Link |
|---|---|
| US (2) | US11741675B2 (https=) |
| EP (1) | EP4118618B1 (https=) |
| JP (1) | JP7763183B2 (https=) |
| KR (1) | KR102540594B1 (https=) |
| CN (1) | CN115485718A (https=) |
| AU (1) | AU2021235397B2 (https=) |
| CA (1) | CA3175003C (https=) |
| TW (1) | TWI797571B (https=) |
| WO (1) | WO2021181267A1 (https=) |
Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102647336B1 (ko) * | 2019-04-01 | 2024-03-14 | 구글 엘엘씨 | 동적 깊이 이미지를 캡처 및 편집하는 기술 |
| FR3106659B1 (fr) * | 2020-01-23 | 2023-07-28 | Second Bridge Inc | Carte numérique pour la navigation |
| US11741675B2 (en) * | 2020-03-10 | 2023-08-29 | Niantic, Inc. | Determining traversable space from single images |
| US20230260240A1 (en) * | 2021-03-11 | 2023-08-17 | Quintar, Inc. | Alignment of 3d graphics extending beyond frame in augmented reality system with remote presentation |
| US12310283B2 (en) * | 2021-05-25 | 2025-05-27 | Scythe Robotics, Inc. | Method and apparatus for modeling an environment proximate an autonomous system |
| US20240414427A1 (en) * | 2021-09-21 | 2024-12-12 | Sony Group Corporation | Information processing device, video processing method, and program |
| US11636658B1 (en) * | 2022-05-04 | 2023-04-25 | Google Llc | Dynamic augmented reality overlay display |
| US20240394839A1 (en) * | 2023-05-23 | 2024-11-28 | Disney Enterprises, Inc. | Artistically controllable stereo conversion |
| TWI907823B (zh) * | 2023-07-31 | 2025-12-11 | 威盛電子股份有限公司 | 應用於基於深度學習之單目深度預測的模型訓練方法與模型訓練系統 |
| TWI854919B (zh) * | 2023-12-13 | 2024-09-01 | 中華電信股份有限公司 | 虛擬或現實場景之人工智慧內容生成系統、方法及其電腦可讀媒介 |
| CN118334592B (zh) * | 2024-06-13 | 2024-09-10 | 中铁四局集团有限公司 | 图像检测方法、存储介质和电子设备 |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8855408B2 (en) * | 2011-11-30 | 2014-10-07 | Samsung Electronics Co., Ltd. | Method and apparatus for recovering depth information of image |
| CN107407567A (zh) * | 2015-03-18 | 2017-11-28 | 微软技术许可有限责任公司 | 增强现实导航 |
| CN110400322A (zh) * | 2019-07-30 | 2019-11-01 | 江南大学 | 基于颜色和三维几何信息的水果点云分割方法 |
| US20200054939A1 (en) * | 2012-07-31 | 2020-02-20 | Niantic, Inc. | Placement of Virtual Elements in a Virtual World Associated with a Location-Based Parallel Reality Game |
Family Cites Families (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8094928B2 (en) | 2005-11-14 | 2012-01-10 | Microsoft Corporation | Stereo video for gaming |
| US20130063556A1 (en) * | 2011-09-08 | 2013-03-14 | Prism Skylabs, Inc. | Extracting depth information from video from a single camera |
| US10977662B2 (en) * | 2014-04-28 | 2021-04-13 | RetailNext, Inc. | Methods and systems for simulating agent behavior in a virtual environment |
| US9798943B2 (en) * | 2014-06-09 | 2017-10-24 | I.R.I.S. | Optical character recognition method |
| US10602126B2 (en) | 2016-06-10 | 2020-03-24 | Lucid VR, Inc. | Digital camera device for 3D imaging |
| KR20190062390A (ko) | 2016-10-11 | 2019-06-05 | 모빌아이 비젼 테크놀로지스 엘티디. | 검출된 배리어에 기반한 차량의 항법 |
| KR101982298B1 (ko) | 2016-11-24 | 2019-05-24 | 고려대학교 산학협력단 | 차량에서의 돌발적으로 출현한 이동 객체를 탐지하는 방법 및 장치 |
| WO2018123641A1 (ja) | 2016-12-27 | 2018-07-05 | 日立オートモティブシステムズ株式会社 | 走行可能領域検出装置及び走行支援システム |
| US10007269B1 (en) | 2017-06-23 | 2018-06-26 | Uber Technologies, Inc. | Collision-avoidance system for autonomous-capable vehicle |
| US10929987B2 (en) * | 2017-08-16 | 2021-02-23 | Nvidia Corporation | Learning rigidity of dynamic scenes for three-dimensional scene flow estimation |
| US10678257B2 (en) * | 2017-09-28 | 2020-06-09 | Nec Corporation | Generating occlusion-aware bird eye view representations of complex road scenes |
| US11448508B2 (en) * | 2017-10-13 | 2022-09-20 | Kohl's, Inc. | Systems and methods for autonomous generation of maps |
| WO2019222467A1 (en) | 2018-05-17 | 2019-11-21 | Niantic, Inc. | Self-supervised training of a depth estimation system |
| KR102192899B1 (ko) | 2018-08-16 | 2020-12-18 | 주식회사 날비컴퍼니 | 이미지에 보케 효과를 적용하는 방법 및 기록매체 |
| CN109215080B (zh) | 2018-09-25 | 2020-08-11 | 清华大学 | 基于深度学习迭代匹配的6d姿态估计网络训练方法及装置 |
| US11017586B2 (en) * | 2019-04-18 | 2021-05-25 | Adobe Inc. | 3D motion effect from a 2D image |
| EP4058983A4 (en) * | 2019-11-12 | 2024-08-07 | Geomagical Labs, Inc. | METHOD AND SYSTEM FOR MODIFYING SCENE IMAGES |
| US11741675B2 (en) * | 2020-03-10 | 2023-08-29 | Niantic, Inc. | Determining traversable space from single images |
-
2021
- 2021-03-05 US US17/193,878 patent/US11741675B2/en active Active
- 2021-03-09 CA CA3175003A patent/CA3175003C/en active Active
- 2021-03-09 JP JP2022554751A patent/JP7763183B2/ja active Active
- 2021-03-09 WO PCT/IB2021/051947 patent/WO2021181267A1/en not_active Ceased
- 2021-03-09 KR KR1020227035022A patent/KR102540594B1/ko active Active
- 2021-03-09 AU AU2021235397A patent/AU2021235397B2/en active Active
- 2021-03-09 CN CN202180032229.1A patent/CN115485718A/zh active Pending
- 2021-03-09 TW TW110108388A patent/TWI797571B/zh active
- 2021-03-09 EP EP21768066.9A patent/EP4118618B1/en active Active
-
2023
- 2023-07-05 US US18/218,465 patent/US12573153B2/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8855408B2 (en) * | 2011-11-30 | 2014-10-07 | Samsung Electronics Co., Ltd. | Method and apparatus for recovering depth information of image |
| US20200054939A1 (en) * | 2012-07-31 | 2020-02-20 | Niantic, Inc. | Placement of Virtual Elements in a Virtual World Associated with a Location-Based Parallel Reality Game |
| CN107407567A (zh) * | 2015-03-18 | 2017-11-28 | 微软技术许可有限责任公司 | 增强现实导航 |
| CN110400322A (zh) * | 2019-07-30 | 2019-11-01 | 江南大学 | 基于颜色和三维几何信息的水果点云分割方法 |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2023517661A (ja) | 2023-04-26 |
| TW202147179A (zh) | 2021-12-16 |
| EP4118618B1 (en) | 2025-05-07 |
| EP4118618A4 (en) | 2024-04-10 |
| CN115485718A (zh) | 2022-12-16 |
| US11741675B2 (en) | 2023-08-29 |
| US20210287385A1 (en) | 2021-09-16 |
| AU2021235397B2 (en) | 2023-08-31 |
| US12573153B2 (en) | 2026-03-10 |
| KR20220143957A (ko) | 2022-10-25 |
| CA3175003C (en) | 2023-08-01 |
| CA3175003A1 (en) | 2021-09-16 |
| JP7763183B2 (ja) | 2025-10-31 |
| US20230360339A1 (en) | 2023-11-09 |
| KR102540594B1 (ko) | 2023-06-08 |
| WO2021181267A1 (en) | 2021-09-16 |
| AU2021235397A1 (en) | 2022-11-03 |
| EP4118618A1 (en) | 2023-01-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| TWI797571B (zh) | 用於自單一影像判定可遍歷空間之電腦實施方法及電腦可讀儲存媒體 | |
| CN112805748B (zh) | 使用深度提示对深度估计模型的自我监督训练 | |
| TWI837557B (zh) | 用於自監督多圖框單眼深度估計模型之電腦實施方法及非暫時性電腦可讀儲存媒體 | |
| US12159358B2 (en) | High-speed real-time scene reconstruction from input image data | |
| US12073601B2 (en) | Determining visual overlap of images by using box embeddings |