User-Context Rendering Dataset Selection for Accurate Object Previews
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Solution Overview
Problem
Existing search results for objects often include items that are not available to the user or provide inaccurate visual representations, leading to confusion and frustration, especially in decorating, customizing, or landscaping, due to difficulties in scaling and lighting adjustments.
Innovation Solution
A computing system that obtains user data, determines relevant objects, generates rendering datasets, and provides interactive virtual environments for previewing how these objects would look in the user's space, using neural radiance field models for accurate three-dimensional renderings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional search results are provided for objects, then users can access a wide variety of items, but the results include objects that are not available to the user or provide inaccurate visual representations
Solution Approach 1:
The system performs preliminary actions by determining object availability status and generating accurate visual representations (rendering datasets) before presenting results to the user. Search results are pre-filtered to include only available objects, and rendering datasets are pre-generated to ensure accurate visual representations, preventing the need for user corrections or returns.
Solution Approach 2:
The system implements feedback mechanisms by using user context information (preferences, constraints, environment data) to continuously refine and update search results and visual representations. The system adapts to user needs by incorporating feedback from user interactions and environmental context to improve result accuracy and relevance.
2Ease of operation
If manual photo manipulation is used to create composite environment views, then users can see how objects look in their space, but the process is tedious and time-consuming
Solution Approach 1:
The system replaces the mechanical process of manual photo manipulation with automated computational methods. Instead of users manually editing photos to create composite views, the system uses rendering datasets and environmental context to automatically generate accurate visual representations of objects in the user's space, dramatically reducing time and effort.
Solution Approach 2:
The system enables self-service by automatically generating environment previews without requiring user intervention in the complex manipulation process. The system autonomously integrates object rendering datasets with user environment context to produce accurate visual representations, allowing users to simply view results rather than manually create them.
3Manufacturing precision
If composite generation relies on manual photo manipulation, then users can view environment layouts, but the process suffers from lack of access to images in certain poses, difficulty in scaling, and difficulty in uniform lighting
Solution Approach 1:
The system uses rendering datasets that serve as accurate digital copies of objects with known geometric properties, lighting characteristics, and multiple pose variations. Instead of manually manipulating photos with limited angles and inconsistent lighting, the system generates visual representations from these comprehensive digital copies, ensuring accuracy across all views and conditions.
Solution Approach 2:
The system leverages parameter changes by utilizing rendering datasets that contain objects represented with varying parameters (different poses, lighting conditions, scales). This allows the system to generate accurate visual representations for any desired view by adjusting these parameters computationally, rather than being constrained by the fixed parameters of manual photo manipulation.
Data Source
AI summary
Systems and methods for generating and providing augmented virtual environments can include obtaining user data, processing the user data to determine a plurality of objects associated with the user data, and generating one or more renderings of the objects in an environment. The renderings can be generated based on a plurality of rendering datasets obtained based on the plurality of determined objects determined to available to a user. The plurality of rendering datasets can include a plurality of three-dimensional meshes and/or a plurality of neural radiance field datasets. The one or more renderings can be provided via an interactive user interface that can allow a user to view renderings of different views of the objects in the environment from different positions and view directions.