Vehicle Novel View Generation Using Multi-Camera Training
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Solution Overview
Problem
Generating high-quality, true-to-life images of vehicles, especially from multiple angles and hard-to-reach areas, is challenging for businesses with large inventories due to the complexity and resource-intensive rendering tasks involved in manual or conventional image manipulation.
Innovation Solution
A system and method utilizing a predictive algorithm trained through multiple processes to estimate camera positions, generate novel views, and display true-to-life images of vehicles, leveraging techniques like Gaussian splatting and volumetric rendering to automate the image generation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual or conventional image manipulation methods are used to generate high-quality vehicle images from multiple angles, then image quality and detail accuracy are improved, but time consumption and operational complexity increase significantly
Solution Approach 1:
The patent uses a camera rig to capture multiple views of the vehicle simultaneously, creating copies of the vehicle from different angles in a single shot. This eliminates the need for manual photography of each angle separately, significantly reducing time consumption while maintaining image quality through consistent lighting and positioning
Solution Approach 2:
The patent segments the vehicle into multiple viewable portions by using a multi-camera rig that captures different angles simultaneously. This allows the system to process and generate novel views of specific vehicle portions independently, reducing overall processing time while maintaining high image quality for each segment
2Loss of information
If detailed photography of all vehicle angles is performed manually, then completeness of vehicle documentation is improved, but productivity decreases due to the large volume of vehicles
Solution Approach 1:
The system segments the vehicle documentation process by capturing multiple angles simultaneously with a camera rig and then generating novel views of specific portions of the vehicle. This allows comprehensive documentation of all vehicle angles to be achieved much faster than traditional sequential photography, significantly improving productivity while maintaining completeness
Solution Approach 2:
The patent performs preliminary action by capturing all necessary vehicle views simultaneously using a multi-camera rig before processing. This preliminary capture of comprehensive data enables rapid generation of novel views later, improving both completeness and productivity by eliminating the need for repeated photography sessions
3Adaptability or versatility
If complex image manipulations are performed to generate vehicle models, then view versatility is improved, but computational resources and system complexity increase
Solution Approach 1:
The patent creates multiple copies of the vehicle from different camera angles and uses these copies to generate novel views through image processing. This approach provides view versatility by allowing the system to synthesize images from angles not directly captured, while avoiding the need for complex 3D modeling systems
Solution Approach 2:
The system uses an intermediary approach by capturing real vehicle images with a camera rig and then using image processing algorithms as intermediaries to generate novel views. This intermediary method provides view versatility without requiring complex 3D models, reducing system complexity while still enabling flexible view generation
4Measurement precision
If multiple camera positions are used to capture hard-to-reach vehicle aspects, then measurement completeness is improved, but device complexity and coordination difficulty increase
Solution Approach 1:
The patent merges multiple camera positions into a single coordinated rig structure that captures all required angles simultaneously. This merging of camera positions into one integrated device improves measurement completeness for hard-to-reach aspects while reducing coordination difficulty compared to managing separate camera systems
Solution Approach 2:
The camera rig is segmented into multiple camera modules positioned at different locations to capture hard-to-reach vehicle aspects. Each segment captures specific portions of the vehicle, improving measurement completeness while the integrated rig structure reduces overall coordination difficulty compared to managing independent camera systems
Data Source
AI summary
Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of estimating one or more camera positions using the one or more images of the vehicle; performing a first training process for a predictive algorithm using the one or more images of the vehicle; after the first training process has started, performing a second training process for the predictive algorithm using the one or more images of the vehicle, wherein the second training process is different from the first training process; generating one or more novel views of the vehicle using the predictive algorithm; after the second training process has started, coordinating displaying at least one image of the one or more novel views of the vehicle. Other embodiments are disclosed herein.