3D Model View Selection for Product Listing Images
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Solution Overview
Problem
Merchants struggle to select the most appropriate image for their online store listings and search engine responses, as current methods lack a systematic approach to determine the representative image that maximizes engagement and appeal.
Innovation Solution
A system that recommends 2D images based on 3D models, considering customer interactions and preferences, generating recommendations for optimal viewing parameters such as zoom level, angle, and orientation, and updating listings with these images to enhance visual representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If merchants manually select default images for product listings, then the process is simple and quick, but the selected images may not optimally represent the product or attract customers
Solution Approach 1:
The system automatically analyzes customer interactions with 3D models and self-selects the optimal 2D image to represent the product, eliminating the need for manual merchant intervention while ensuring customer-preferred views are used
Solution Approach 2:
The system collects feedback data from customer interactions with 3D models (such as viewing angles, zoom levels, and manipulation patterns) and uses this feedback to determine which 2D image best represents the product from the customer's perspective
2Adaptability or versatility
If multiple 2D images are provided for a product listing, then more customer preferences are accommodated, but the complexity of image management increases
Solution Approach 1:
The system extracts the essential viewing preferences from multiple customer interactions with 3D models and consolidates them into a single optimal 2D image representation, maintaining versatility while simplifying management
Solution Approach 2:
The system performs preliminary analysis of customer preferences through 3D model interactions before finalizing the default image selection, ensuring the chosen image already accounts for customer preferences without requiring complex ongoing management
3Measurement precision
If 3D model interaction data is collected and analyzed to recommend 2D images, then image selection accuracy improves, but system complexity and processing requirements increase
Solution Approach 1:
The system uses a multi-functional approach where the same 3D model serves both as a customer interaction interface and as a source of data for generating 2D images, eliminating the need for separate complex processing systems
Data Source
AI summary
Methods and systems for generating 2D images based on a 3D model are disclosed. 3D three-dimensional (3D) model data associated with a product offering in an online store are sent to a first electronic device, the 3D model data being generated from a stored 3D model. Data representing a selected value for a viewing parameter of the stored 3D model are received from the first electronic device. From the received data, a desired 2D view is determined for a stored 3D model. A recommendation is generated, for a second electronic device, to include the desired 2D view in a stored listing associated with the product offering.