WO2023095956A1 - Procédé, appareil et système de recherche et de fourniture d'informations de relation de forme concernant un modèle 3d - Google Patents

Procédé, appareil et système de recherche et de fourniture d'informations de relation de forme concernant un modèle 3d Download PDF

Info

Publication number
WO2023095956A1
WO2023095956A1 PCT/KR2021/017581 KR2021017581W WO2023095956A1 WO 2023095956 A1 WO2023095956 A1 WO 2023095956A1 KR 2021017581 W KR2021017581 W KR 2021017581W WO 2023095956 A1 WO2023095956 A1 WO 2023095956A1
Authority
WO
WIPO (PCT)
Prior art keywords
model
search
information
coordinate
retrieving
Prior art date
Application number
PCT/KR2021/017581
Other languages
English (en)
Korean (ko)
Inventor
강경완
윤덕현
Original Assignee
삼인이엔에스 주식회사
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 삼인이엔에스 주식회사 filed Critical 삼인이엔에스 주식회사
Publication of WO2023095956A1 publication Critical patent/WO2023095956A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/5854—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using shape and object relationship
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/51—Indexing; Data structures therefor; Storage structures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/53—Querying
    • G06F16/532—Query formulation, e.g. graphical querying
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/587—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
    • G06T7/344—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G06T7/75—Determining position or orientation of objects or cameras using feature-based methods involving models

Definitions

  • the present invention relates to a shape comparison search of a 3D model, and more particularly, to a method, apparatus, and system for searching shape relation information by constructing shape relation information based on coordinate information extracted from a 3D model.
  • Prior Art Document 1 relates to a 3D model data search, and discloses a configuration for searching and classifying a 3D model to search for a 3D model suitable for a specific purpose, but is applicable only to the entire 3D model. There is a problem in applying it to a large-capacity 3D model.
  • Prior Art Document 2 relates to 3D model integrated management, discloses a configuration for obtaining object information constituting a 3D model, storing it in a database, and providing the 3D model or object information stored in the database,
  • this is also applicable only to the entire 3D model, so there is a problem in applying it to a large-capacity 3D model.
  • An object to be solved by the present invention is to provide a method, apparatus, and system for retrieving shape relation information such as adjacent models and similar models by constructing shape relation information based on coordinate information extracted from a 3D model.
  • a method for retrieving and providing shape relation information of a 3D model in a server for solving the above problems is to pre-process the 3D model for each point of the 3D model based on a first interval. extracting coordinate information; matching and recording coordinate information for each extracted point with model identifier information including each point; constructing a space-based coordinate search engine having a data structure based on the record; and receiving a request for shape relation information and setting a first search range through the configured space-based coordinate search engine, and deriving at least one adjacent search result model based on coordinate information of a search reference model for the received first search range,
  • the method may include providing shape relation information between the derived at least one search result model and a search criterion model to a terminal.
  • An apparatus for retrieving and providing shape relation information of a 3D model includes a memory; And a processor, wherein the processor preprocesses the 3D model to extract coordinate information for each point of the 3D model based on a first interval, and obtains coordinate information for each point extracted and coordinate information for each point Matching and recording model identifier information including, configuring a space-based coordinate search engine having a data structure based on the record, and receiving a shape relation information request and a first search range setting through the configured space-based coordinate search engine, , Deriving at least one adjacent search result model based on the coordinate information of the search reference model for the received first search range, and providing shape relation information between the derived at least one search result model and the search reference model to the terminal.
  • the processor preprocesses the 3D model to extract coordinate information for each point of the 3D model based on a first interval, and obtains coordinate information for each point extracted and coordinate information for each point Matching and recording model identifier information including, configuring a space-based coordinate search engine having
  • a system for retrieving and providing shape relation information of a 3D model includes: a terminal; and a server, wherein the server preprocesses the 3D model to extract coordinate information for each point of the 3D model based on a first interval, and obtains coordinate information for each point extracted and coordinate information for each point.
  • Matching and recording model identifier information including, configuring a space-based coordinate search engine having a data structure based on the record, and receiving a shape relation information request and a first search range setting through the configured space-based coordinate search engine, , Deriving at least one adjacent search result model based on the coordinate information of the search reference model for the received first search range, and providing shape relation information between the derived at least one search result model and the search reference model to the terminal. It may include a processor that
  • the present invention it is possible to retrieve the shape relationship of the target 3D model from the server in real time or at high speed.
  • FIG. 1 is a block diagram illustrating a system for retrieving and providing shape relation information for a 3D model according to an embodiment of the present invention.
  • FIG. 2 is a configuration block diagram of a server according to an embodiment of the present invention.
  • FIG. 3 is a flowchart illustrating a method of retrieving and providing shape relation information of a 3D model according to an embodiment of the present invention.
  • FIG. 4 is a flowchart illustrating a preprocessing process for a 3D model according to an embodiment of the present invention.
  • FIG. 5 is a diagram for explaining a preprocessing process related to FIG. 4 .
  • FIG. 6 is a diagram illustrating a data structure for constructing a space-based coordinate search engine in FIG. 3 .
  • FIG. 7 is a flowchart illustrating a method for providing shape relation search results according to an embodiment of the present invention.
  • FIG. 8 is a diagram for explaining an operation of providing a shape relation search result of FIG. 3 .
  • spatially relative terms “below”, “beneath”, “lower”, “above”, “upper”, etc. It can be used to easily describe a component's correlation with other components. Spatially relative terms should be understood as including different orientations of elements in use or operation in addition to the orientations shown in the drawings. For example, if you flip a component that is shown in a drawing, a component described as “below” or “beneath” another component will be placed “above” the other component. can Thus, the exemplary term “below” may include directions of both below and above. Components may also be oriented in other orientations, and thus spatially relative terms may be interpreted according to orientation.
  • 1 is a block diagram illustrating a system for retrieving and providing shape relation information for a 3D model according to an embodiment of the present invention.
  • 2 is a block diagram of a server 150 according to an embodiment of the present invention.
  • a system for retrieving and providing shape relationship information for a 3D model (or three-dimensional model) includes a terminal 100 and a server 150. It can be.
  • the system for retrieving and providing shape relation information for a 3D model includes one or more terminals 100 and server 150 shown in FIG. 1 in relation to performing operations according to the present invention. It may be configured by adding components.
  • the terminal 100 may request a search for shape relation information on the 3D model and output a search result according to the request. At this time, according to the embodiment, the terminal 100 may transmit or upload data on the target 3D model or a part thereof to the server 150 when requesting the shape relation information search.
  • the terminal 100 may be any one of a TV, a monitor, a signage, a PC, a laptop computer, a tablet PC, a smart phone, and a wearable device.
  • the terminal 100 may output a user interface provided by the server 150 in order to request a search for shape relationship information on the 3D model.
  • a terminal for requesting a search for shape relation information on a 3D model and a terminal outputting a result of the search request may be different.
  • the terminal 100 provides various input and output interfaces, for example, a keyboard, a mouse, a stylus pen, a microphone, a speaker, and a display, in relation to a search request for shape relation information on the above-described 3D model and provision of a result according to the request. It may have or be connected with at least one of the like. According to an embodiment, the terminal 100 may recognize all or part of a 3D model that is a target of a search request or obtain related data through an image sensor.
  • the server 150 returns a search result of shape relationship information on the target 3D model in response to a search request for shape relationship information on all or part of the target 3D model input by the terminal 100 and the target 3D model. to provide.
  • the server 150 preprocesses the 3D model to obtain coordinate information for each point of the 3D model to be preprocessed, and refers to the coordinate information obtained in this way so that the point and the model identifier (ID) are matched. It is possible to construct a space-based coordinate search engine with a data structure.
  • the server 150 may refer to information previously stored in a database (DB) in response to a search request of the terminal 100 and provide shape relation information of various models with respect to the target model as a search result.
  • DB database
  • the server 150 may include a memory 210 and a processor 220, wherein the memory 210 corresponds to the database (DB) described above. and store the calculated shape relationship between various 3D models and adjacent models by dividing them, and when the processor 220 receives a request for searching for shape relationship information on a target model from the terminal 100, the received In response to a search request, shape relationship information with neighboring model(s) belonging to a set search range from the memory 210 may be provided or controlled to be provided as a search result.
  • DB database
  • the server 150 may be called by various names such as a controller, a control device, and a computing device, and includes software and corresponding programs such as various programs for searching for shape relationship information on a 3D model according to the present invention and providing services related to results. It may include hardware that includes software.
  • the server 150 may provide a 3D model shape relationship information search service including the above search request and search result in the form of an application or web service.
  • the terminal 100 may download, install, and run the application provided by the server 150 to include various configurations related to the shape relation information search service of the 3D model according to the present invention.
  • the server 150 collects various 3D models in advance, calculates and stores shape relationship information between individual models of the corresponding 3D models, so that shape relationship information for a large-capacity 3D model is It can be serviced so that it can be quickly searched in real time.
  • FIG. 3 is a flowchart illustrating a method of retrieving and providing shape relation information of a 3D model according to an embodiment of the present invention.
  • 4 is a flowchart illustrating a preprocessing process for a 3D model according to an embodiment of the present invention.
  • FIG. 5 is a diagram for explaining a preprocessing process related to FIG. 4 .
  • FIG. 6 is a diagram illustrating a data structure for constructing a space-based coordinate search engine in FIG. 3 .
  • 7 is a flowchart illustrating a method for providing shape relation search results according to an embodiment of the present invention.
  • FIG. 8 is a diagram for explaining an operation of providing a shape relation search result of FIG. 3 .
  • FIGS. 3, 4, and 6 are described based on the operation of the server 150 (or processor 220).
  • FIG. 4 may be a detailed operation of the preprocessing process in FIG. 3
  • FIG. 6 may be a detailed operation of the engine configuration and search process in FIG. 3 .
  • the server 150 may pre-process the 3D model and extract coordinate information for each point of the 3D model based on a first interval.
  • the server 150 matches the coordinate information for each point extracted through operation 11 with the model identifier information including each point, and records and stores the information as shown in FIG. 7, for example. .
  • the server 150 may extract coordinate information from the 3D model at regular intervals.
  • the predetermined interval in operation 21 is referred to as a first interval.
  • the server 150 provides coordinate information for each point in the corresponding model (model identifier) at a first interval, for example, the coordinates of a face colliding with a ray in three axes, that is, x, y, and z directions. information can be extracted.
  • Figure 5 (a) shows the result of extracting coordinate information according to operation 21.
  • the server 150 may determine whether the number of coordinate information extracted for the corresponding 3D model is less than a threshold value.
  • the threshold value may be arbitrarily set by the server 150 .
  • Operation 22 may be performed to secure accuracy or reliability of a preprocessing operation of the corresponding 3D model or a search result for shape relation information in the server 150 .
  • the server 150 may extract additional coordinate information for the corresponding 3D model.
  • Extraction of such additional coordinate information may be performed as follows, for example. This is, for example, 1) when the size of the 3D model is smaller than the first interval, 2) when the 3D model has a complex shape or a model with a unique shape such as a thin pipe, 3) the corresponding 3 It may include a case where it is determined that the number of extracted coordinate information for the dimensional model is less than a predefined ratio compared to the size of the model bounding.
  • the server 150 redesignates the corresponding 3D model by, for example, an interval smaller than the set bounding, that is, a second interval (smaller than the first interval).
  • the coordinate information of can be extracted.
  • the server 150 divides the 3D model into shape models capable of extracting coordinate information (sub-model identifier given), extracts coordinate information for the divided shape models, and then can be grouped for.
  • Figure 5 (b) shows the result of additionally extracting coordinates from a complex model through the process of 2), for example.
  • the server 150 adds additional coordinates at regular intervals from vertices or edges constituting the 3D model. information can be extracted.
  • the server 150 may filter the extracted coordinate information.
  • the filtering may filter coordinate information extracted through redundant coordinate information, voxel sampling, and the like. When filtering is performed in this way, the number of initially extracted coordinate information, that is, the total number of extracted coordinate information may be reduced.
  • the server 150 may match, record, and store the ID of the corresponding model and the filtered coordinate information.
  • 5(d) is an example of the matching-based recording.
  • a plurality of points may be matched to one model identifier. Through this, the point can be identified through the model identifier and, conversely, the model identifier can be identified through the point.
  • the server 150 may construct a space-based coordinate search engine having a matching-based data structure in operation 12 above. Operations 11 to 13 may be repeatedly performed for various 3D models. Through this, the server 150 may provide shape relationship information search results for various target 3D models that are requested to search for shape relationship information through the terminal 100 . However, according to the embodiment, when the search results for the target 3D model requested for shape relation information search through the terminal 100 are not provided or are not sufficient, the above-described operations 11 to 13 are performed on the terminal 100. It can be performed in response to a search request of Data according to operations 11 to 13 for the corresponding 3D model performed in this way may be newly recorded and stored in the database DB.
  • the server 150 constructs a space-based coordinate search engine. At this time, the operation may be performed based on the search engine data structure as shown in FIG. 6 .
  • Figure 6 (a) shows the data structure of the model ID
  • Figure 6 (b) shows the data structure of the point index.
  • the data structure of the search engine can be formed by matching the data structure of the model ID shown in (a) of FIG. 6 with the data structure of the point index shown in (b) of FIG. 6 .
  • the space-based coordinate search engine can be configured based on the Kd-tree algorithm.
  • the Kd-tree algorithm is a space partitioning data structure for structuring points in a k-dimensional space, and a binary search tree or a 3-dimensional search tree may be used.
  • a 3D search tree but is not limited thereto.
  • each point is defined as a data structure consisting of x, y, z and model id index
  • the model id is the model id and the extracted coordinate data It can be defined as a data structure composed of indexes. That is, since all coordinates have model id information, a model can be specified using a search result of the search engine, for example, an index of corresponding coordinates in a point list.
  • 'model id' may indicate a model identification code.
  • This model id can be defined as, for example, an 8-digit combination of alphabets and numbers.
  • 'Index' may indicate an identification number assigned to each of the model ids.
  • 'point index' may indicate an identification number assigned to each of the points included in the model.
  • the server 150 uses the configured space-based coordinate search engine to search for the requested target search reference model and first search range. settings can be received.
  • the server 150 may derive at least one adjacent search result model based on coordinate information of the search reference model with respect to the received first search range.
  • the server 150 may provide shape relation information between the derived at least one search result model and a search reference model.
  • the server 150 may perform an operation as shown in FIG. 7 to provide a shape relation information search result.
  • the server 150 may search for a model id based on coordinate information within the designated search range.
  • server 150 may specify a search criteria model.
  • the server 150 may search for a neighboring model id based on the search criteria model.
  • the server 150 may provide search results, that is, shape relation information between a search reference model and an adjacent model within a search range.
  • the server 150 may derive a search result for the location of the model at a high speed for searching based on coordinates. Accordingly, the server 150 may perform the following search. For example, the server 150 may search for a model id within a radius by searching for a coordinate reference range (radius). Also, the server 150 may search for at least one or more adjacent models based on model id. For example, when the server 150 performs a range search with a radius (or distance) d from all coordinates extracted from a corresponding model, the server 150 can identify all models existing within a radius d adjacent to the corresponding model.
  • the search criterion model may be any one part among a plurality of parts constituting the 3D model.
  • a model 810 may correspond to a search criterion model.
  • the first search range may be set by the terminal, that is, an area to be searched and checked in the 3D model.
  • a range 820 may correspond to the first search range.
  • This search range may be automatically determined by settings of the server 150 or the terminal 100, and may be arbitrarily changed and set later by the user.
  • the search range may be arbitrarily and automatically set with reference to the size of the search criterion model, the number of points in the search criterion model, and the like.
  • the terminal 100 may arbitrarily change the search range after automatically setting it.
  • the server 150 may provide a corresponding result in real time to provide convenience in setting the search range.
  • the provided result is a temporary result and may be different in form or amount of information from the result to be provided after the final search range is determined.
  • the search result model may indicate at least one part adjacent to the search criterion model within a search range.
  • parts 830, 840, and 850 may correspond to a search result model.
  • all coordinates of the first part 830 of the model are included in the search range, and the server 150 may recognize that all parts of the corresponding model are included in the search range.
  • the server 150 derives a plurality of adjacent search result models derived based on the coordinate information of the search reference model with respect to the received first search range, all coordinate information among the models is included in the search range.
  • a 3D model image is provided for a region desired by the user, for example, a search range, instead of the entire large-size 3D model, and one is provided based on the search range.
  • a search result may be selectively provided by searching for parts of the search reference model, that is, at least one or more parts disposed adjacent to the search reference model based on coordinate data included in the search reference model.
  • a search criterion model may be arbitrarily selected according to designation of a search range. For example, the selected search criterion model may be determined as a part including the most point or coordinate information within the specified search range. Meanwhile, the search criterion model selected in this way may be changed and selected to other parts according to arbitrary adjustment of the designated search range.
  • a search range is automatically or manually set, and then information about at least one search result model adjacent to the search criterion model corresponding to the aforementioned search range. may be provided as a search result.
  • search results for at least one part adjacent to the specified search criterion model that is, a search result model within the specified search range may be provided.
  • the stored Model search may be performed by applying the second search range R2. This may be, for example, setting the 'R1 ⁇ R2' relationship to be satisfied in order to minimize the case where the search ranges do not overlap in the corresponding process.
  • R2 may be 1.5 times R1.
  • the present invention is not limited thereto.
  • the server 150 when a plurality of adjacent search result models derived based on coordinate information of a search reference model are derived for the received first search range, the server 150 performs the above search result model for each derived search result model. Shape relationship information with the search reference model may be calculated, and a model adjoining the search reference model and a model overlapping the search reference model may be distinguished according to the calculation result.
  • Steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, implemented in a software module executed by hardware, or implemented by a combination thereof.
  • a software module may include random access memory (RAM), read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, hard disk, removable disk, CD-ROM, or It may reside in any form of computer readable recording medium well known in the art to which the present invention pertains.

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Library & Information Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Computer Graphics (AREA)
  • Geometry (AREA)
  • Processing Or Creating Images (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

L'invention concerne un procédé, un appareil et un système de recherche et de fourniture d'informations de relation de forme concernant un modèle 3D. Le procédé comprend les étapes consistant : à prétraiter le modèle 3D de façon à extraire des informations concernant des coordonnées pour chaque point du modèle 3D sur la base d'un premier intervalle ; à mettre en correspondance les informations extraites concernant les coordonnées pour chaque point avec des informations concernant un identifiant de modèle qui comporte chaque point, et à les enregistrer ; à construire un moteur de recherche de coordonnées basé sur l'espace présentant une structure de données sur la base de l'enregistrement ; et à recevoir une demande d'informations de relation de forme et un premier réglage de plage de recherche par l'intermédiaire du moteur de recherche de coordonnées basé sur l'espace construit, de façon à dériver au moins un modèle de résultat de recherche adjacent sur la base d'informations de coordonnées concernant un modèle de référence de recherche correspondant à la première plage de recherche reçue, et à fournir, à un terminal, des informations de relation de forme entre ledit modèle de résultat de recherche dérivé et le modèle de référence de recherche.
PCT/KR2021/017581 2021-11-26 2021-11-26 Procédé, appareil et système de recherche et de fourniture d'informations de relation de forme concernant un modèle 3d WO2023095956A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR1020210164999A KR20230077841A (ko) 2021-11-26 2021-11-26 3차원 모델의 형상 관계 정보 검색 및 제공 방법, 장치 및 시스템
KR10-2021-0164999 2021-11-26

Publications (1)

Publication Number Publication Date
WO2023095956A1 true WO2023095956A1 (fr) 2023-06-01

Family

ID=86539713

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2021/017581 WO2023095956A1 (fr) 2021-11-26 2021-11-26 Procédé, appareil et système de recherche et de fourniture d'informations de relation de forme concernant un modèle 3d

Country Status (2)

Country Link
KR (1) KR20230077841A (fr)
WO (1) WO2023095956A1 (fr)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20110062870A (ko) * 2009-12-04 2011-06-10 한국전자통신연구원 3차원 모델 데이터 검색 장치
KR20130002238A (ko) * 2011-09-26 2013-01-07 (주)에스지원정보기술 도화원도 데이터의 건물좌표변환을 통한 공간정보 구축 시스템 및 그 방법
US20130311450A1 (en) * 2003-01-25 2013-11-21 Karthik Ramani Methods, systems, and data structures for performing searches on three dimensional objects
US20160063035A1 (en) * 2013-03-15 2016-03-03 Rejal Limited Method and system for 3d model database retrieval
KR20180011435A (ko) * 2016-07-22 2018-02-01 경북대학교 산학협력단 질의 모델과 검색 대상 모델 간의 정밀도 차이를 고려한 모델 검색 장치 및 방법

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101446112B1 (ko) 2012-08-07 2014-10-06 한국기술교육대학교 산학협력단 3차원 모델 통합 관리 시스템 및 방법

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130311450A1 (en) * 2003-01-25 2013-11-21 Karthik Ramani Methods, systems, and data structures for performing searches on three dimensional objects
KR20110062870A (ko) * 2009-12-04 2011-06-10 한국전자통신연구원 3차원 모델 데이터 검색 장치
KR20130002238A (ko) * 2011-09-26 2013-01-07 (주)에스지원정보기술 도화원도 데이터의 건물좌표변환을 통한 공간정보 구축 시스템 및 그 방법
US20160063035A1 (en) * 2013-03-15 2016-03-03 Rejal Limited Method and system for 3d model database retrieval
KR20180011435A (ko) * 2016-07-22 2018-02-01 경북대학교 산학협력단 질의 모델과 검색 대상 모델 간의 정밀도 차이를 고려한 모델 검색 장치 및 방법

Also Published As

Publication number Publication date
KR20230077841A (ko) 2023-06-02

Similar Documents

Publication Publication Date Title
WO2022050473A1 (fr) Appareil et procédé d'estimation de pose de caméra
CN107833280B (zh) 一种基于地理网格与图像识别相结合的户外移动增强现实方法
CN110853022B (zh) 病理切片图像的处理方法、装置、系统及存储介质
WO2021057797A1 (fr) Procédé et appareil de positionnement, terminal et support de mémorisation
CN110428449B (zh) 目标检测跟踪方法、装置、设备及存储介质
WO2014092446A1 (fr) Système de recherche et procédé de recherche pour images à base d'objet
WO2012108623A1 (fr) Procédé, système et support d'enregistrement lisible par ordinateur pour ajouter une nouvelle image et des informations sur la nouvelle image à une base de données d'images
CN110443120A (zh) 一种人脸识别方法及设备
CN110163111A (zh) 基于人脸识别的叫号方法、装置、电子设备及存储介质
WO2011034305A2 (fr) Procédé et système de mise en correspondance hiérarchique d'images de bâtiments, et support d'enregistrement lisible par ordinateur
WO2023080455A1 (fr) Procédé et appareil de traitement d'informations de pied
CN109902681A (zh) 用户群体关系确定方法、装置、设备及存储介质
CN110175515A (zh) 一种基于大数据的人脸识别算法
CN106650628A (zh) 一种基于三维k曲率的指尖检测方法
WO2023095956A1 (fr) Procédé, appareil et système de recherche et de fourniture d'informations de relation de forme concernant un modèle 3d
CN112101336A (zh) 一种基于计算机视觉的智能数据采集方式
WO2019164277A1 (fr) Procédé et dispositif d'évaluation de saignement par utilisation d'une image chirurgicale
CN112085788B (zh) 回环检测方法、装置、计算机可读存储介质及移动装置
CN112949672A (zh) 商品识别方法、装置、设备以及计算机可读存储介质
CN112070840A (zh) 一种多深度相机融合的人体空间定位与跟踪方法
CN116069976B (zh) 一种区域视频分析方法及系统
CN116501827B (zh) 一种基于bim的市场主体与楼宇地址匹配定位方法
WO2021125434A1 (fr) Procédé et dispositif d'authentification faciale sur dispositif en temps réel basée sur l'apprentissage profond
CN112487966B (zh) 一种流动商贩行为识别管理系统
WO2024096309A1 (fr) Procédé, dispositif informatique et programme informatique pour détecter automatiquement un changement dans un poi

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21965743

Country of ref document: EP

Kind code of ref document: A1