View-Dependent Point Cloud Rendering with Camera Metadata
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Solution Overview
Problem
Current image rendering techniques using point cloud technology fail to provide realistic views of 3D objects from various angles due to lack of documented camera settings and angles, leading to uncertain 3D attributes and unfaithful renditions.
Innovation Solution
A method and device that receive images from multiple camera positions, determine camera orientation and attributes, and generate a model for virtual rendering at various viewing orientations, incorporating capture position metadata to select appropriate attributes based on viewer angle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If view-dependent attributes are used per 3D position to represent point cloud, then the rendering can adapt to different viewing angles, but the 3D attributes become uncertain and unfaithful when camera settings and angles are not documented
Solution Approach 1:
The patent applies preliminary action by documenting camera settings and capture angles in advance during the image acquisition phase. Metadata including camera position, orientation, and intrinsic parameters are recorded before rendering occurs, ensuring that view-dependent attributes can be reliably determined later without uncertainty
Solution Approach 2:
The patent introduces metadata as an intermediary that bridges the gap between captured images and rendered views. This metadata layer contains camera settings and geometric information that mediates the transformation from 2D images to 3D point cloud attributes, ensuring faithful representation across different viewing angles
2Adaptability or versatility
If modulated attributes according to viewer angle are applied to captured images, then view-dependent rendering is achieved, but realistic views under all conditions and angles are not provided
Solution Approach 1:
The patent applies parameter changes by systematically varying camera parameters (position, orientation, focal length) based on the viewer angle. The rendering system adjusts point cloud attributes by transforming them according to documented camera settings and the desired viewing angle, ensuring realistic appearance under different conditions
Solution Approach 2:
The patent implements feedback by using documented camera settings as reference information that guides the attribute modulation process. The system continuously references the original capture parameters to ensure that view-dependent attributes are modulated accurately and faithfully represent the original scene from any viewing angle
3Device complexity
If camera settings and angles are not documented, then the rendering process is simpler, but 3D point cloud attributes become uncertain at certain viewing angles
Solution Approach 1:
The patent applies preliminary action by documenting camera settings and capture angles in advance during the image acquisition phase. Metadata including camera position, orientation, and intrinsic parameters are recorded before rendering occurs, ensuring that view-dependent attributes can be reliably determined later without uncertainty
Data Source
AI summary
A method and device are provided for rendering an image. The method comprises receiving an image from at least two different camera positions and determining a camera orientation and at least one image attribute associated with each of the positions. A model is then generated of the image based on the attribute and camera orientation associated with the received camera positions of the image. The model is enabled to provide a virtual rendering of the image at a plurality viewing orientations and selectively providing appropriate attributes associated with the viewing orientation.