WO2019058266A1 - Système et procédé de conversion d'un plan de sol en scène 3d pour la création et le rendu de scènes architecturales de réalité virtuelle, de vidéos et d'images de visite - Google Patents

Système et procédé de conversion d'un plan de sol en scène 3d pour la création et le rendu de scènes architecturales de réalité virtuelle, de vidéos et d'images de visite Download PDF

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Publication number
WO2019058266A1
WO2019058266A1 PCT/IB2018/057200 IB2018057200W WO2019058266A1 WO 2019058266 A1 WO2019058266 A1 WO 2019058266A1 IB 2018057200 W IB2018057200 W IB 2018057200W WO 2019058266 A1 WO2019058266 A1 WO 2019058266A1
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WIPO (PCT)
Prior art keywords
floor plan
module
scene
objects
user
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PCT/IB2018/057200
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English (en)
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Sobin VARGHESE THOMBRA
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Varghese Thombra Sobin
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Publication of WO2019058266A1 publication Critical patent/WO2019058266A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • G06T19/003—Navigation within 3D models or images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2210/00—Indexing scheme for image generation or computer graphics
    • G06T2210/04—Architectural design, interior design

Definitions

  • the embodiment herein generally relates to the field of visualizing architectural features, furniture and interiors for an upcoming or existing building. More specifically, the invention provides a system and a method for conversion of a floor plan to a 3D scene for rendering of virtual reality, walk through videos and images/ 2D renderings in an interface device.
  • a main object of the present invention is to provide a system for conversion of a floor plan to a 3D scene for rendering of virtual reality, walk through videos and images in an interface device.
  • Another object of the present invention is to provide a system for displaying a floor plan in a 3D VR visualization to the user to customize the attributes of the object and furniture; wherein the conversion of the floor plan to a 3D scene for rendering of virtual reality, walk through videos and images in an interface device floor plan can be 2D or 3D floor plan or a vertical orthographic projection of a building.
  • Still another object of the present invention is to provide a system to generate the 3D scene from the floor plan by the user.
  • Yet another object of the present invention is to provide a system to customize the objects present in the 3D VR visualization.
  • Another object of the present invention is to provide a system for customizing using digital assets library in the 3D VR visualization.
  • Another object of the present invention is to provide a system for accessing furniture designs from online stores for implementing the new designs in the VR visualization.
  • an embodiment herein provides a system and a method for conversion of a floor plan to a 3D scene for rendering of virtual reality or walk through videos or images.
  • the system comprises of, a user interface device and at least a cloud platform.
  • the cloud platform includes an application server, an application program interface (API), a work flow system, and digital assets and furniture library.
  • the user interface device may include but not limited to a floor plan upload unit, a customization unit, a content downloader unit and a virtual reality (VR) , image and walkthrough viewer unit.
  • the application server includes a process engine.
  • the process engine can be configured to identify objects present in the floor plan and to generate 3D scenes based on the identified objects and to render 3D scene to video or virtual reality (VR) visualization by converting a floor plan into 3D scene in the interface device, for providing the VR visual or walk through videos or 2D renderings to a user.
  • VR virtual reality
  • the floor plan upload unit can be configured for uploading floor plans into the system.
  • the floor plan is a 2D floor plan or 3D floor plan or a vertical orthographic projection of a building or a location and so on.
  • the customization unit can be configured for changing attributes of the objects present in the floor plan and also for adding new objects in the 3D scene using the interface device.
  • the content downloader unit can be configured for allowing the user to download the rendered VR or walkthrough videos or images in a required format from the cloud platform using the user interface.
  • the VR, image and walkthrough viewer unit can be configured for allowing the user to view visualization of the upcoming home or building or interiors of the given floor plan to provide the user a virtual and augmented reality experience in the user interface device using the rendered VR scene or walkthrough video or images.
  • the process engine may include but not limited to an image preprocessor module, a multi pass floor plan objects identifier module, a view and level merge module, a world scene builder module, a customization module, a 3D scene generator module, a rendering module and a package module.
  • the rendering module may include sub-modules for output option that includes but not limited to a VR scene generator module, a video encoder module, images output module.
  • the multi pass floor plan objects identifier module comprises of sub modules to identify the objects in the floor plan.
  • the sub modules may include but is not limited to a scale & orientation calibration module, a deep learning module, a floor plan symbols linear Support Vector Machine (SVM) classifier module, a training updater module, a wall detection module, an object filter module, a room identification module, a dimension detection module, a decision module and so on.
  • SVM Support Vector Machine
  • a method for conversion of a floor plan to a 3D scene for rendering of virtual reality, walk through videos and images comprising the steps of, obtaining a floor plan along with a customization setting from a user interface device to a system, recognizing different symbols using advanced computer vision and deep learning technologies for determining the walls, rooms, furniture used and its positions in the floor plan, creating view and level merge for the exterior view of the house by taking the plan views & the elevation view inside the floor plan, generating 3D scene by taking into account the customization settings and selected digital assets from the digital assets library and rendering generated 3D scene into VR scene or walkthrough videos or images.
  • Fig. l illustrates the general block diagram of a system for conversion of a floor plan to a 3D scene for rendering of virtual reality, walk through videos and images, according to an embodiment herein;
  • Fig.2 illustrates the general architecture of the system for conversion of a floor plan to a 3D scene for rendering of virtual reality, walk through videos and images, according to an embodiment herein;
  • FIG.3 illustrates the schematic diagram of the process engine, according to an embodiment herein;
  • Fig.4 illustrates the schematic diagram of the multi pass floor plan objects identifier module, according to an embodiment herein.
  • Fig.5 illustrates the method involved in the system for conversion of a floor plan to a 3D scene for rendering of virtual reality, walk through videos and images, according to an embodiment herein.
  • Fig. l illustrates the general block diagram 100 of a system for conversion of a floor plan to a 3D scene for rendering of virtual reality, walk through videos and images, according to an embodiment.
  • the general diagram for a system comprises of objects detector 102, a 3D scene generator 103, a digital assets and furniture library 105, and a rendering unit 104.
  • the system works in a cloud based network. Initially, the cloud based system can take the floor plans along with customization settings or configuration 101 as input.
  • the object detector utilizes the customization setting for recognizing different symbols using advanced computer vision. Further, the object detector utilizes deep learning technologies for determining the walls, rooms, furniture used and its positions.
  • This is then converted to a 3D scene using the 3D scene generator 103 taking into account the customization settings and selected digital assets from the digital assets and furniture library 105.
  • the generated 3D scene is then rendered using rendering unit 104 to generate VR scenes or walkthrough videos or images 106.
  • Fig.2 illustrates the general architecture 200 of the system for conversion of a floor plan to a 3D scene for rendering of virtual reality, walk through videos and images, according to an embodiment.
  • the system comprises of, a user interface device 202 and a cloud platform 207.
  • the cloud platform 207 includes an application server 208, an application program interface (API) 209, a work flow system 210, and digital assets & furniture library.
  • API application program interface
  • the API 209 can provide an interface to allow third party applications to communicate with the system.
  • the work flow system 210 can perform the sequence of task according to the process flow incorporated in the system and also monitors the sequence of tasks.
  • the user interface device includes but is not limited to smartphone, mobile phone, tablet, I-phone, I-pad and so on.
  • the user interface device 202 may include but not limited to a floor plan upload unit 203, a customization unit 204, a content downloader unit 205 and a virtual reality (VR), image and walkthrough viewer unit 206.
  • the application server 208 includes a process engine 213. Further, the process engine 213 can be configured to identify objects present in the floor plan and to generate 3D scenes based on the identified objects and to render 3D scene to video or virtual reality (VR) visualization by converting a floor plan into 3D scene in the interface device, for providing the VR visual or walk through videos or 2D renderings to a user 201.
  • the floor plan upload unit 203 can be configured for uploading floor plans into the system.
  • the floor plan is a 2D floor plan or 3D floor plan or a vertical orthographic projection of a building and so on.
  • the customization unit 204 can be configured for changing attributes of the objects present in the floor plan and also for adding new objects and/orspecific type of furniture from a database of available furniture into the 3D scene using the interface device.
  • the content downloader unit 205 can be configured for allowing the user 201 to download the rendered VR or walkthrough videos or images 106 in a required format from the cloud platform 207 using the user interface device 202.
  • the virtual reality (VR) , image and walkthrough viewer unit 206 can be configured for allowing the user 201 to view visualization of the floor plan as a home or interiors to provide the user 201 a virtual and augmented reality experience in the user interface device 202 using the rendered VR scene or walkthrough video or images 106.
  • VR virtual reality
  • the system allows the user 201 to upload the floor plan using the floor plan upload unit 203 and the customization settings 101 also uploaded in the customization unit 204 by the user 201 using the interface device 202.
  • the uploaded content is transferred to the cloud platform 207.
  • the application server 208 the content is transferred to a processing unit that is a hyper reality engine 213.
  • the process engine 213 can perform the operation of image pre-processing, multi pass floor plan objects identification, view and level merge process.
  • the process engine 213 utilizes the digital assets and furniture library to build the customized world scene.
  • the process engine 213 accesses the library via a network line to customization unit 214. After that, the system can generate a 3D scene using the generated world scene.
  • the generated 3D scene can be rendered as a VR scene. Further, the rendering can be done as a video or images or VR scene according to the user's requirement.
  • the rendered 3D scene can be transferred for packaging in specific format and transfer that to the digital assets and furniture library 105 via a to package network 215. From the digital assets and furniture library 105, the system allows the user to download 205 the packaged content. Further, the system allows the user to view the content in the specific format using the VR viewer 206 present in the user interface device 202.
  • Fig.3 illustrates the schematic diagram 300 of the process engine 213, according to an embodiment.
  • the schematic diagram of the process engine 213 comprises of modules but not limited to an image preprocessor module 301, a multi pass floor plan objects identifier module 302, a view and level merge module 303, a world scene builder module 304, a customization module 305, a 3D scene generator module 306, a rendering module 307 and a package module 311.
  • the rendering module 307 may include sub-modules for output option that includes but not limited to a VR scene generator module 310, a video encoder module 309, and an images output module 308.
  • the image preprocessor module 301 can be configured for aiding object recognition by removing noise, isolating walls & furniture symbols, identifying region of interest, and handling colored & shaded floor plans using computer vision techniques and also configured to utilize computer vision techniques to aid object recognition.
  • the multi pass floor plan objects identifier module 302 can be configured for identifying symbols such as walls, rooms in the floor plan using a trained and an untrained machine learning techniques to generate 3D scenes. There are several steps involved in the multi pass floor plan objects identifier module 302. Each step is performed using a sub module and that is elaborated in Fig.4.
  • the view and level merge module 303 can be configured for creating an exterior view of the house by taking the floor plan views & an elevation view inside the floor plan and for specifying the height of the walls, position & dimensions of the windows and doors, slope of the roofs, roof styles and so on.
  • the floor plan for a house can consist of several floors or levels that need to be merged into a single house. Each floor plan can be iterated through the system and then finally can be merged together.
  • the world scene builder module 304 can be configured for generate coordinate positions based on world coordinates for a 3D scene and creating type of 3D object based on objects identified in the multi pass floor plan objects identifier module 302.
  • the customization module 305 can be configured for recognizing different symbols from an input of customization settings in the application server 208.
  • the 3D scene generator module 306 can be configured for creating actual 3D scene using API 209 of external third-party modeling tools based on the inputs from the world space builder.
  • the 3D models, textures, color of the walls, ceiling trims can be obtained from the digital asset library based on the customization settings specified by the user 201.
  • the rendering module 307 can be configured for generating renders from the 3D scene by spawning render instances on the cloud platform 207.
  • the render output depends on an output option selected by a user 201.
  • the package module 311 can be configured for compressing the renders to easier download.
  • the VR scene generator module 310 can be configured for generating VR renders from the 3D scene by spawning render instances on the cloud platform 207. For example, if the user 201 selects the output option as a VR scene, then the VR scene generator module can generate VR renders from the 3D scene.
  • Thevideo encoder module 309 can be configured for encoding video renders from the 3D scene by spawning render instances on the cloud platform 207. For example, if the user 201 selects the output option as a walkthrough video, then the video encoder module can generate walkthrough video from the 3D scene.
  • the images output module 308 can be configured for generating image renders from the 3D scene by spawning render instances on the cloud platform 207. For example, if the user 201 selects the output option as images then the image output module can generate images from the 3D scene.
  • Fig.4 illustrates the schematic diagram 400 of the multi pass floor plan objects identifier module 302, according to an embodiment.
  • the multi pass floor plan objects identifier module 302 comprises of sub modules to identify the objects in the floor plan.
  • the sub modules may include but is not limited to a scale & orientation calibration module 401, a deep learning module 403, a floor plan symbols linear Support Vector Machine (SVM) classifier module 402, a training updater module 404, a wall detection module 405, an object filter module 406, a room identification module 407, a dimension detection module 408, a decision module 409 and other module 410.
  • SVM linear Support Vector Machine
  • the scale & orientation calibration module 401 can be configured for handling scale and orientation for symbol detection.
  • the deep learning module 403 can be configured for utilizing unsupervised deep learning for detecting the symbols.
  • the floor plan symbols linear Support Vector Machine (SVM) classifier module 402 can be configured for quickly identifying the symbols used in the floor plan using a trained linear SVM classifier based detection unit. The training for each type of symbol is done on a training dataset that is then used for recognition.
  • the training updater module 404 can be configured for adding any unidentified symbol to the positive training database and adding incorrectly identified objects to the negative training dataset.
  • the training updater module 404 can be further configured for retaining the linear SVM classifier using an updated training dataset that includes the positive training database and negative training database.
  • thewall detection module 405 can be configured for creating a structure of the house by identifying line segments on the floor plan.
  • the object filter module 406 can be configured for removing identified symbols from the floor plan to ease and increase accuracy of the objects recognition.
  • the room identification module 407 can be configured for identifying rooms by taking connected walls into account.
  • the dimension detection module 408 can be configured for identifying dimensions and set the length and width of the walls accordingly using text recognition.
  • the decision module 409 configured for conforming recognized symbols by taking into account the inputs from the linear SVM classifier, deep learning classifier and the room context.
  • Exemplary methods for conversion of a floor plan to a 3D scene for rendering of virtual reality, walk through videos and images are described with reference to Fig 5.
  • These exemplary methods can be described in the general context of computer executable instructions.
  • computer executable instructions can include routines, programs, objects, components, data structures, procedures, modules, functions, and the like, that perform particular function or implement particular abstract data types.
  • the methods can also be practiced in a distributed computing environment where functions are performed by remote processing devices that are linked through a communication network.
  • computer executable instructions may be located both in local and remote computer storage media, including memory storage devices.
  • the exemplary methods are illustrated as a collection of operations in a logical flow graph representing a sequence of operations that can be implemented in hardware, software, firmware, or a combination thereof.
  • the order in which the methods are described is not intended to be construed as a limitation, and any number of the described method blocks can be combined in any order to implement the methods, or alternate methods. Additionally, individual operations may be deleted from the methods without departing from the spirit and scope of the subject matter described herein.
  • the operations represent computer instructions that, when executed by one or more processors, perform the recited operations.
  • Fig.5 illustrates the method 500 involved in the system for conversion of a floor plan to a 3D scene for rendering of virtual reality, walk through videos and images, according to an embodiment.
  • the method for conversion of a floor plan to a 3D scene for rendering of virtual reality, walk through videos and images comprising the step of,
  • the user 201 can upload floor plan along with a customization setting 101 using the user interface device 202;
  • the system for conversion of a floor plan to a 3D scene for rendering of virtual reality, walk through videos and images can obtain the floor plan along with a customization setting 101 from the user interface device 202;
  • the view and level merge for the exterior view of the house can be created by taking the plan views & the elevation view inside the floor plan; further,the height of the walls, position & dimensions of the windows and doors, slope of the roofs, roof styles can also be specified;further,the floor plan for a house can consist of several floors or levels that need to be merged into a single house. Each floor plan is iterated through the hyper-reality system and then finally merged together;
  • the 3D scene can be generated by taking into account the customization settings and selected digital assets from the digital assets library;
  • the generated 3D scene can be rendered into VR scene or walkthrough videos or images 106.
  • the present invention can allow homeowners or architects to visualize upcoming homes or visualizing furniture in context to their existing home by just using a floor plan.
  • Users 201 can able to create 3D model of their homes by just uploading the floor plan which is then processed to identify the objects present in the floor plan. Then using the objects to create a 3D scene that can be rendered out as virtual reality video walkthrough or 2D images 106 stop in an automated manner.
  • the benefit of this invention is that users 201 can be able to experience their homes as if they were physically present there in actual scale by using the benefit of virtual reality technologies as compared to the floor plan.
  • creation of 3D scenes from floor plan is done manually whereas by being able to create it automatically by themselves gives the benefit of reduced cost, time & quality.
  • the process engine 213 identifies the objects such as walls, floors, celling, doors, floor mat, fans, lights, chairs, sofas, bed and so on. Further, the engine calibrates the dimension of the floor plan and accordingly generates the 3D VR models for each object. After that, the 3D VR model is displayed in the VR display unit 206 to the user 201. If the user 201 wants to change any objects attributes or design then the engine provides an option to select the attributes or design or product itself from retail shop in online. Based on the change in object features, the customized VR visualization is generated.
  • the system can be utilized for applications that includes but is not limited to VR visualization for house, school, or any other building before construction, or after construction for interior decoration, VR visualization for scientific visualization, fashion designing, education, and so on.

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  • Software Systems (AREA)
  • Computer Graphics (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
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Abstract

La présente invention concerne un système et un procédé de conversion d'un plan de sol en une scène 3D pour le rendu de réalité virtuelle ou des vidéos ou des images de visite. Le système est constitué d'un dispositif d'interface utilisateur (202) et d'une plateforme en nuage (207). La plateforme en nuage (207) comprend un serveur d'application (208), une interface de programme d'application (API) (209), un système de flux de travail (210), et une bibliothèque de biens numériques et de meubles (211). Le serveur d'application (208) contient un moteur de traitement (213). Le moteur de traitement (213) peut être configuré pour identifier des objets présents dans le plan de sol et produire des scènes 3D en fonction des objets identifiés et pour effectuer le rendu de scène 3D en vidéo ou visualisation en réalité virtuelle (VR) en convertissant un plan de sol en scène 3D dans le dispositif d'interface, pour fournir le visuel VR ou les vidéos de visite ou les rendus 2D à un utilisateur (201).
PCT/IB2018/057200 2017-09-21 2018-09-19 Système et procédé de conversion d'un plan de sol en scène 3d pour la création et le rendu de scènes architecturales de réalité virtuelle, de vidéos et d'images de visite WO2019058266A1 (fr)

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Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110134384A (zh) * 2019-05-09 2019-08-16 安徽工程大学 一种直升式的头盔下高空漫游的虚拟现实系统及方法
CN110853143A (zh) * 2019-10-12 2020-02-28 广州亚美信息科技有限公司 场景实现方法、装置、计算机设备和存储介质
CN110852834A (zh) * 2019-10-11 2020-02-28 合肥雪祺电气有限公司 一种冰箱个性化定制系统及定制方法
CN111025934A (zh) * 2019-11-12 2020-04-17 温州大学 一种用于终端用电数据管理和诊断的虚拟现实平台
CN111915710A (zh) * 2020-07-10 2020-11-10 杭州渲云科技有限公司 基于实时渲染技术的建筑渲染方法
CN111986311A (zh) * 2020-08-06 2020-11-24 山东金东数字创意股份有限公司 一种模板数据转化系统和方法
CN112308948A (zh) * 2020-09-30 2021-02-02 深圳市聚点数码科技有限公司郑州分公司 用于房产营销的光场漫游模型的构建方法及应用
EP3806018A1 (fr) * 2019-10-07 2021-04-14 MS Virtual Constructions GmbH Procédé de fourniture d'un plan électronique de bâtiment ou d'appartement en trois dimensions, ainsi que procédé et système de visualisation des plans de bâtiment et d'appartement
CN113298930A (zh) * 2021-05-12 2021-08-24 天海欧康科技信息(厦门)有限公司 基于webgl技术的三维工艺可视化设计方法
CN113379895A (zh) * 2021-06-10 2021-09-10 北京房江湖科技有限公司 三维房屋模型生成方法、装置及计算机可读存储介质
NL1043600B1 (en) * 2020-03-13 2021-09-22 3D Targeteers B V 3d environment rendering
WO2021191017A1 (fr) 2020-03-25 2021-09-30 Simply Innovation Gmbh Modélisation et représentation 3d de pièces fournies et leur manipulation
CN114003322A (zh) * 2021-09-16 2022-02-01 北京城市网邻信息技术有限公司 房屋实景空间的显示方法、设备、装置及存储介质
US11610365B2 (en) 2021-03-31 2023-03-21 Sy Interiors Pvt. Ltd. Methods and systems for provisioning a virtual experience of a building based on user profile data
US11698707B2 (en) 2021-03-31 2023-07-11 Sy Interiors Pvt. Ltd. Methods and systems for provisioning a collaborative virtual experience of a building
WO2024045767A1 (fr) * 2022-09-02 2024-03-07 上海交通大学 Système et procédé de transformation de style global basés sur une scène virtuelle pour zone commune

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080126022A1 (en) * 2006-11-27 2008-05-29 Ramsay Hoguet Joining and Disjoining Individual Rooms in a Floor Plan
US9129433B1 (en) * 1998-06-26 2015-09-08 Carl Phillip Korobkin Photogrammetry engine for model construction

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9129433B1 (en) * 1998-06-26 2015-09-08 Carl Phillip Korobkin Photogrammetry engine for model construction
US20080126022A1 (en) * 2006-11-27 2008-05-29 Ramsay Hoguet Joining and Disjoining Individual Rooms in a Floor Plan

Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110134384B (zh) * 2019-05-09 2022-12-23 安徽工程大学 一种直升式的头盔下高空漫游的虚拟现实系统
CN110134384A (zh) * 2019-05-09 2019-08-16 安徽工程大学 一种直升式的头盔下高空漫游的虚拟现实系统及方法
AT17054U1 (de) * 2019-10-07 2021-04-15 Ms Virtual Constructions Gmbh Verfahren zum Bereitstellen eines elektronischen dreidimensionalen Gebäude- oder Wohnungsplans, sowie Verfahren und System zur Visualisierung von Gebäude- und Wohnungsplänen
EP3806018A1 (fr) * 2019-10-07 2021-04-14 MS Virtual Constructions GmbH Procédé de fourniture d'un plan électronique de bâtiment ou d'appartement en trois dimensions, ainsi que procédé et système de visualisation des plans de bâtiment et d'appartement
CN110852834A (zh) * 2019-10-11 2020-02-28 合肥雪祺电气有限公司 一种冰箱个性化定制系统及定制方法
CN110853143A (zh) * 2019-10-12 2020-02-28 广州亚美信息科技有限公司 场景实现方法、装置、计算机设备和存储介质
CN111025934A (zh) * 2019-11-12 2020-04-17 温州大学 一种用于终端用电数据管理和诊断的虚拟现实平台
NL1043600B1 (en) * 2020-03-13 2021-09-22 3D Targeteers B V 3d environment rendering
WO2021191017A1 (fr) 2020-03-25 2021-09-30 Simply Innovation Gmbh Modélisation et représentation 3d de pièces fournies et leur manipulation
CN111915710A (zh) * 2020-07-10 2020-11-10 杭州渲云科技有限公司 基于实时渲染技术的建筑渲染方法
CN111986311A (zh) * 2020-08-06 2020-11-24 山东金东数字创意股份有限公司 一种模板数据转化系统和方法
CN112308948A (zh) * 2020-09-30 2021-02-02 深圳市聚点数码科技有限公司郑州分公司 用于房产营销的光场漫游模型的构建方法及应用
US11610365B2 (en) 2021-03-31 2023-03-21 Sy Interiors Pvt. Ltd. Methods and systems for provisioning a virtual experience of a building based on user profile data
US11698707B2 (en) 2021-03-31 2023-07-11 Sy Interiors Pvt. Ltd. Methods and systems for provisioning a collaborative virtual experience of a building
CN113298930A (zh) * 2021-05-12 2021-08-24 天海欧康科技信息(厦门)有限公司 基于webgl技术的三维工艺可视化设计方法
CN113379895A (zh) * 2021-06-10 2021-09-10 北京房江湖科技有限公司 三维房屋模型生成方法、装置及计算机可读存储介质
CN113379895B (zh) * 2021-06-10 2022-02-22 贝壳找房(北京)科技有限公司 三维房屋模型生成方法、装置及计算机可读存储介质
CN114003322A (zh) * 2021-09-16 2022-02-01 北京城市网邻信息技术有限公司 房屋实景空间的显示方法、设备、装置及存储介质
WO2024045767A1 (fr) * 2022-09-02 2024-03-07 上海交通大学 Système et procédé de transformation de style global basés sur une scène virtuelle pour zone commune

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