3D Model Production Using Point Cloud and Camera Image Matching
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Solution Overview
Problem
Conventional methods for producing 3D models, such as computer graphics software and image-based modeling, face challenges in geometrical accuracy and user interface intuitiveness, particularly when creating models with static backgrounds like existing buildings, and are dependent on designer skill and image resolution.
Innovation Solution
An apparatus and method utilizing a point cloud from 3D scanning, which includes an image matching unit, mesh model processing unit, and 3D model processing unit to produce a 3D model by matching scanned point clouds with camera images, allowing for intuitive user interaction and accurate texture reflection, thereby improving model accuracy and realism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Shape
If computer graphics professional software is used to manually model 3D objects, then detailed models can be produced, but the quality and production time vary depending on designer ability and geometrical accuracy with actual objects cannot be secured
Solution Approach 1:
The patent uses point cloud data obtained through 3D scanning to copy the actual geometric structure of the target object. This point cloud serves as an accurate digital replica of the real object's geometry, eliminating the need for manual modeling while preserving exact dimensional accuracy. The system extracts 3D coordinates directly from the scanned point cloud rather than relying on designer interpretation.
Solution Approach 2:
The patent replaces the manual mechanical modeling process with an automated computational system. Instead of designers manually creating 3D models using software tools, the system automatically generates accurate 3D models by processing point cloud data through coordinate extraction and mesh generation algorithms, substituting human manual operations with automated computational mechanics.
2Measurement precision
If image-based modeling method is used to calculate 3D coordinates from multiple images, then geometrically accurate 3D models can be produced, but the 3D coordinates are not dense and image resolution dependency limits accuracy
Solution Approach 1:
The patent uses point cloud data obtained through 3D scanning to copy the actual geometric structure of the target object. This point cloud serves as an accurate digital replica of the real object's geometry, eliminating the need for manual modeling while preserving exact dimensional accuracy. The system extracts 3D coordinates directly from the scanned point cloud rather than relying on designer interpretation.
Solution Approach 2:
The patent replaces the manual mechanical modeling process with an automated computational system. Instead of designers manually creating 3D models using software tools, the system automatically generates accurate 3D models by processing point cloud data through coordinate extraction and mesh generation algorithms, substituting human manual operations with automated computational mechanics.
3Adaptability or versatility
If manual 3D modeling is used to create models with static backgrounds, then flexibility in modeling is maintained, but user interface intuitiveness and ease of operation are reduced
Solution Approach 1:
The patent uses point cloud data obtained through 3D scanning to copy the actual geometric structure of the target object. This point cloud serves as an accurate digital replica of the real object's geometry, eliminating the need for manual modeling while preserving exact dimensional accuracy. The system extracts 3D coordinates directly from the scanned point cloud rather than relying on designer interpretation.
Solution Approach 2:
The patent replaces the manual mechanical modeling process with an automated computational system. Instead of designers manually creating 3D models using software tools, the system automatically generates accurate 3D models by processing point cloud data through coordinate extraction and mesh generation algorithms, substituting human manual operations with automated computational mechanics.
Data Source
AI summary
Disclosed are an apparatus and a method of producing a 3D model in which a 3D model having a static background is produced using a point cloud and an image obtained through 3D scanning. The apparatus includes an image matching unit for producing a matched image by matching a point cloud obtained by scanning a predetermined region to a camera image obtained by photographing the predetermined region; a mesh model processing unit for producing an object positioned in the region as a mesh model; and a 3D model processing unit for producing a 3D model for the object by reflecting texture information obtained from the matched image to the mesh model. The disclosed may be used for a 3D map service.


