3D Reconstruction Guidance System for Image Capture
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Solution Overview
Problem
Users face challenges in determining the specific viewpoints needed to capture images for three-dimensional reconstruction, often resulting in either insufficient or redundant image capture, which can hinder the generation of accurate 3D models.
Innovation Solution
A system comprising an input module, analysis module, and guidance module that receives current video image data and compares it to previous images to determine a 3D reconstruction indicator, including motion and overlap, to assist users in capturing images from optimal viewpoints, ensuring sufficient data for 3D reconstruction while minimizing redundant captures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the user captures more images than necessary to ensure sufficient images from specific viewpoints, then the 3D model can be generated, but many redundant and unnecessary images are captured
Solution Approach 1:
The system performs preliminary analysis by determining a 3D reconstruction indicator before capturing each image. This indicator assesses whether the current viewpoint provides sufficient new information for 3D reconstruction based on comparison with previous images, allowing the system to pre-determine the necessity of capturing the current image
Solution Approach 2:
The system continuously monitors the 3D reconstruction indicator and provides feedback to guide image capture. By comparing the current video image data with previous images and analyzing motion and overlap, the system dynamically adjusts capture decisions to ensure sufficient images are obtained without capturing redundant images
2Quantity of substance
If the user does not capture enough images from specific viewpoints, then fewer images are captured, but the user may not be able to generate the 3D model
Solution Approach 1:
Before each image capture, the system preliminarily determines the 3D reconstruction indicator to assess whether the current viewpoint contributes sufficient new information. This pre-assessment ensures that only necessary images are captured, maintaining adequate coverage for 3D model generation while avoiding insufficient sampling
Solution Approach 2:
The system automatically evaluates the sufficiency of captured images by analyzing the 3D reconstruction indicator, which compares current video image data with previous images. This self-service mechanism ensures that the image set is sufficient for 3D reconstruction without requiring manual verification or over-capturing
3Ease of operation
If the user captures images from arbitrary viewpoints, then the capture process is simple, but the images cannot be used to generate accurate 3D models
Solution Approach 1:
The system provides real-time feedback by determining the 3D reconstruction indicator based on comparison between current video image data and previous images. This feedback mechanism guides the user to capture images from appropriate viewpoints by analyzing motion and overlap, maintaining ease of operation while ensuring 3D model accuracy
Solution Approach 2:
The system changes the parameter of viewpoint selection from arbitrary to optimized by analyzing the 3D reconstruction indicator. By monitoring motion and overlap between consecutive images, the system identifies viewpoints that provide sufficient new information for accurate 3D reconstruction while maintaining user-friendly operation
Data Source
AI summary
Systems and methods for assisting a user in capturing images for three-dimensional (3D) reconstruction are provided. A system includes an input module configured to receive current video image data from a device. The system also includes an analysis module configured to determine a 3D reconstruction indicator based on the current video image data and a previous image (or images) of a target captured by the device. The analysis module is also configured to determine whether the 3D reconstruction indicator is sufficient to allow a 3D reconstruction of the target based on the current video image data and the previous image. The system also includes a guidance module configured to assist the user in capturing a current image of the target from the current video image data based on the determination of whether the 3D reconstruction indicator is sufficient.