Single-View Multi-View Capture Guidance via 3D Silhouette Projection
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Solution Overview
Problem
Existing methods for multi-view image capture in 3D object reconstruction are inconvenient and prone to inaccuracies due to the need for multiple cameras and manual alignment, which can result in inconsistent object sizes and shaky images.
Innovation Solution
A method and apparatus using machine learning to process a single-view 2D image into orthographic and perspective projection images, generating a 3D silhouette model and guidance interface to facilitate accurate multi-view capture by adjusting camera tilt and lighting, enabling easy and precise multi-view image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple cameras are positioned and pre-calibrated to capture multi-view images, then measurement precision is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent merges multiple camera functions into a single camera by capturing images at different positions and synthesizing multi-view information through image processing algorithms, eliminating the need for multiple physical cameras while maintaining measurement precision
Solution Approach 2:
The patent replaces the mechanical system of multiple physical cameras with a computational system that uses a single camera and software algorithms to generate multi-view images, reducing device complexity while preserving measurement accuracy
2Measurement precision
If multiple cameras are used for multi-view capture, then measurement precision is improved, but ease of operation worsens
Solution Approach 1:
The system performs automatic calibration and multi-view image synthesis through algorithms that self-adjust parameters based on captured images, eliminating the need for manual calibration operations and improving ease of use while maintaining precision
Solution Approach 2:
Manual calibration operations are replaced with automated computational algorithms that perform calibration and image synthesis automatically, reducing operational complexity while preserving measurement accuracy
3Ease of operation
If the object location is not centered to capture multi-view images, then ease of operation is improved, but manufacturing precision deteriorates
Solution Approach 1:
The system provides real-time feedback through silhouette guidance interfaces that show users the optimal capture positions and angles, enabling non-centered object placement while maintaining consistent object size and capture quality through guided feedback
4Ease of operation
If simple silhouette guidance is provided for multi-view capture, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The system enhances simple silhouette guidance with real-time feedback mechanisms that provide directional and positional information to users, enabling easy operation while maintaining measurement precision through guided capture feedback
Data Source
AI summary
Disclosed herein are an apparatus and method for guiding multi-view capture. The apparatus for guiding multi-view capture includes one or more processors and an execution memory for storing at least one program that is executed by the one or more processors, wherein the at least one program is configured to receive a single-view two-dimensional (2D) image obtained by capturing an image of an object of interest through a camera, generate an orthographic projection image and a perspective projection image for the object of interest from the single-view 2D image using an image conversion parameter that is previously learned from multi-view 2D images for the object of interest, generate a 3D silhouette model for the object of interest using the orthographic projection image and the perspective projection image, and output the 3D silhouette model and a guidance interface for the 3D silhouette model.