3D Object Modeling With Virtual Bounding Guidance on RGB Cameras
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Solution Overview
Problem
Current 3D modeling processes require specialized hardware like LIDAR sensors or RGB-D cameras and high-performance graphics cards, making data collection and reconstruction complex and hardware-intensive.
Innovation Solution
A method utilizing a common RGB camera to collect data and a terminal device to perform 3D modeling, with optional server-assisted processing to reduce hardware requirements and simplify the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized hardware like LIDAR sensors or RGB-D cameras is used for data collection, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent uses a virtual bounding body that copies the function of physical depth sensing hardware. This virtual structure processes 2D images to generate depth information and spatial relationships, replacing the need for actual LIDAR or RGB-D cameras while maintaining measurement precision for 3D reconstruction.
Solution Approach 2:
The patent replaces mechanical/optical depth sensing mechanisms with computational methods. Instead of using physical sensors to directly measure depth, the system uses image processing algorithms on virtual bounding bodies to calculate spatial information, thereby reducing hardware complexity while preserving measurement capabilities.
2Power
If high-performance independent graphics card is configured for 3D reconstruction processing, then processing power is improved, but device complexity increases
Solution Approach 1:
The patent creates a virtual bounding body that replicates the 3D reconstruction process without requiring high-performance graphics hardware. This virtual structure processes images through computational algorithms, generating 3D models on standard terminals without needing powerful independent graphics cards.
Solution Approach 2:
The patent changes the computational parameters and processing approach to be compatible with standard terminal devices. By adjusting algorithm complexity and processing methods, the system achieves effective 3D reconstruction on devices without high-performance graphics hardware, maintaining processing capability while reducing hardware requirements.
3Measurement precision
If multiple specialized hardware components are used for data collection and processing, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The virtual bounding body provides a simplified interface that copies essential 3D reconstruction functions without exposing complex hardware requirements. Users interact with a simplified virtual model that automatically processes images and generates 3D reconstructions, maintaining accuracy while dramatically improving ease of operation.
Solution Approach 2:
The system performs self-processing of image data through automated algorithms on the virtual bounding body. The terminal device automatically collects images, processes them through computational algorithms, and generates 3D models without requiring user intervention with complex hardware configurations, thereby improving ease of operation while maintaining precision.
Data Source
AI summary
In the method, a terminal device display a first interface including a taken picture; collect a plurality of frames of images corresponding target object, and obtain an association relationship between the plurality of frames of images; and obtain a three-dimensional model corresponding to the target object based on the plurality of frames of images and the association relationship between the plurality of frames of images, and display the three-dimensional model. When the plurality of frames of images are collected, a first virtual bounding body including a plurality of patches is displayed. When the terminal device is in a first pose, the terminal device collects a first image, and changes a display effect of a patch corresponding to the first image. When the terminal device is in a second pose, the terminal device collects a second image, and changes a display effect of a patch corresponding to the second image.


