3D Video Reconstruction Using Pose Transformation Matrices
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Solution Overview
Problem
Three-dimensional video processing faces challenges due to its unique data structure, particularly in aligning and reconstructing depth video streams from multiple camera perspectives, which affects immersion and accuracy in augmented and virtual reality applications.
Innovation Solution
A method and device for processing 3D videos by acquiring depth video streams from multiple cameras, registering them using pose transformation matrices, and performing three-dimensional reconstruction to align and fuse the data, enabling accurate 3D model creation and improved user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If depth video streams from multiple cameras are acquired and registered using pose transformation matrices, then the accuracy and immersion of 3D video reconstruction is improved, but the device complexity and processing difficulty increase
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing pose transformation matrices for each camera perspective before the actual 3D reconstruction process. These matrices are computed in advance based on camera positions and orientations, allowing the registration module to quickly align depth video streams without performing complex real-time calculations during reconstruction, thus improving accuracy while managing system complexity
Solution Approach 2:
The patent introduces an intermediary registration module that acts as a mediator between the multiple camera input streams and the final 3D reconstruction process. This module uses pose transformation matrices to align and coordinate the depth video streams from different perspectives, simplifying the overall system architecture by centralizing the complex alignment operations in a dedicated intermediate processing stage
2Reliability
If depth video streams are registered and three-dimensional reconstruction is performed, then user immersion in AR and VR applications is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent applies segmentation by dividing the 3D video processing into distinct modular stages: an acquisition module that collects depth video streams from multiple cameras, a registration module that aligns streams using pose transformation matrices, and a reconstruction module that performs 3D reconstruction. This segmentation allows each module to be optimized independently and enables parallel processing where possible, reducing overall processing time while maintaining immersion quality
Solution Approach 2:
The patent uses preliminary action by pre-computing pose transformation matrices and preparing registration data before the actual reconstruction process. This advance preparation reduces the computational burden during real-time reconstruction, allowing faster processing while maintaining high user immersion quality in AR and VR applications
Data Source
AI summary
Provided are a method and a device for processing a three-dimensional video and a storage medium. The method includes the steps described below. Depth video streams from perspectives of at least two cameras of the same scene are acquired. According to preset registration information, the depth video streams from the perspectives of the at least two cameras are registered. According to the registered depth video streams from the perspectives of the at least two cameras, three-dimensional reconstruction is performed to obtain a 3D video.

