Immersive-Media Point Cloud Validation Using Object-Region Comparison
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Solution Overview
Problem
Imperfect segmentation and 3D reconstruction in point clouds generated from high-resolution camera images result in missing objects or artifacts, leading to undesirable immersive experiences in virtual views.
Innovation Solution
A system for validating 3D models by comparing object regions in captured images to reconstructed images using bounding boxes, applying multi-view geometric constraints, and generating difference metrics to detect errors in the 3D model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If segmentation and 3D reconstruction are performed to generate point clouds, then immersive views can be generated, but objects of interest may be missed due to imperfections
Solution Approach 1:
The patent implements a feedback mechanism where detected objects from captured images are used to validate and correct the 3D model. The system compares objects detected in captured images with those in reconstructed images, and uses this feedback to identify and correct errors in the point cloud representation, ensuring reliable object representation while maintaining efficient immersive view generation.
Solution Approach 2:
The system performs preliminary object detection on captured images before generating the 3D model. By pre-identifying objects of interest in the captured images and using these as reference, the system can subsequently validate the 3D reconstruction against these pre-detected objects, preventing missed objects in the final point cloud representation.
2Productivity
If multiple high resolution cameras are installed to capture scenes, then immersive experiences can be provided, but computational complexity increases
Solution Approach 1:
The patent extracts and focuses computation only on object regions of interest rather than processing the entire image data. By detecting objects first and then validating only the corresponding regions in the 3D model, the system reduces computational complexity while maintaining high immersive experience quality from multiple camera views.
Solution Approach 2:
The system applies different processing qualities to different regions. High-resolution processing is applied locally to object regions where validation is needed, while broader areas undergo lighter processing. This local quality approach maintains immersive experience quality without proportionally increasing overall computational complexity.
3Productivity
If 3D reconstruction is performed from captured images, then volumetric models can be generated, but errors and artifacts are introduced
Solution Approach 1:
The patent uses feedback from comparing captured images with reconstructed images to identify and correct errors in the volumetric model. Objects detected in captured images serve as reference to validate the 3D reconstruction, allowing systematic correction of artifacts and inaccuracies while maintaining efficient volumetric model generation.
Solution Approach 2:
The system replaces manual inspection and correction of 3D models with an automated image comparison mechanism. By substituting mechanical/ manual validation processes with automated computational comparison of captured and reconstructed images, the system maintains high manufacturing precision without sacrificing productivity.
Data Source
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AI summary
Techniques related to validating an image based 3D model of a scene are discussed. Such techniques include detecting an object within a captured image used to generate the scene, projecting the 3D model to a view corresponding to the captured image to generate a reconstructed image, and comparing image regions of the captured and reconstructed images corresponding to the object to validate the 3D model.