3D Vehicle Model Image Overlay via ML Anchor Points
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Two-dimensional images fail to provide consumers with an accurate sense of depth and space within a vehicle, such as legroom and pedal spacing, limiting their ability to assess a vehicle's dimensions before a physical test drive.
Innovation Solution
A computing device with a user interface and machine learning capabilities that receives vehicle information and images, trains a model to overlay these images onto a three-dimensional vehicle model, identifying anchor points to create a meshed three-dimensional view, allowing users to visualize internal and external components from various angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If two-dimensional images are used to display vehicle components, then the system complexity is low and ease of manufacture is high, but depth perception and spatial understanding are insufficient
Solution Approach 1:
The patent transforms two-dimensional vehicle component images into a three-dimensional virtual model environment, allowing users to view components from multiple angles and depths. This dimensionality change enables depth perception and spatial understanding while maintaining the simplicity of using standard imaging equipment for data capture.
2Loss of information
If multiple images are captured and processed to create three-dimensional views, then depth perception is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by capturing multiple images of vehicle components before the user views them. These images are pre-processed and integrated into a three-dimensional virtual model in advance, so that when the user accesses the model, the spatial information is already prepared and ready for immediate interaction without real-time processing delays.
3Measurement precision
If a three-dimensional model is created from multiple images, then the accuracy of vehicle dimension representation is improved, but the complexity of image alignment and anchoring increases
Solution Approach 1:
The patent introduces anchor points as intermediary elements that facilitate the alignment and integration of multiple two-dimensional images into a coherent three-dimensional virtual model. These anchor points serve as reference markers that simplify the complex task of image registration and ensure accurate representation of vehicle dimensions without requiring complex processing algorithms.
Data Source
AI summary
Aspects described provide systems and methods that relate generally to image analysis and, more specifically, overlaying images onto a three-dimensional model of a vehicle. The systems and methods include a vehicle application that receives vehicle information via a user interface. The vehicle application receives a plurality of images that comprise images of one or more internal components of the vehicle and images of one or more external components of the vehicle. The vehicle application utilizes a machine learning model to classify actual current images and attach, overlay, and wrap the actual current images to a three-dimensional model of the vehicle. The machine learning model and vehicle application meshes the actual current images around the three-dimensional model of the vehicle to create a three-dimensional view of the vehicle. The vehicle application further displays via the user interface the three-dimensional view of the vehicle.