3D Scanning System with Fixed Sensor Spacing for Texture Swapping
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Solution Overview
Problem
Conventional methods for generating high-quality images of products for online sales are costly and inefficient, requiring multiple physical products to be shipped to studios for photography, especially when dealing with variations in material and scene settings.
Innovation Solution
A system and method for generating textured 3D models of products by analyzing images from scanning devices, separating 3D modeling of product shape from texture modeling of materials, allowing for interchangeable textures on the same 3D model, reducing the need for physical products and streamlining image creation across different scenes and materials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional photography methods are used to capture product images for online sales, then high-quality images can be obtained, but costs and time consumption increase significantly due to requiring multiple physical products and studio photography sessions
Solution Approach 1:
The patent uses 3D scanning to create digital copies of physical products, capturing geometric and texture information to generate photorealistic images. Instead of photographing multiple physical products in studios, the system scans one product and generates multiple image variations through rendering different scenes and lighting conditions on the digital model, dramatically reducing time consumption while maintaining image quality
Solution Approach 2:
The patent replaces the mechanical photography process (physical product transport, studio setup, photographing) with a digital rendering system. The 3D scanner captures product geometry and texture, then computer graphics software renders images in various scenes and lighting conditions, eliminating the need for repeated physical photography sessions and reducing time consumption significantly
2Measurement precision
If multiple physical products are shipped to studios for photography to handle material variations, then accurate product representation is achieved, but shipping costs and logistical complexity increase
Solution Approach 1:
The patent creates digital copies of products with different material textures applied to the same 3D model. Instead of shipping multiple physical products to capture different materials, the system scans one product and applies various texture maps (wood, metal, fabric, etc.) to generate accurate representations of different material variations, eliminating the need to ship multiple physical units
Solution Approach 2:
The patent makes a single 3D model universal by enabling it to represent multiple material variations through texture swapping. The same geometric model can be rendered with different material textures to accurately represent various product configurations, allowing one physical product to serve multiple representation purposes without requiring multiple physical units
3Adaptability or versatility
If professional photography studios are used to capture products in various scenes, then consumers receive accurate product visualization, but the process becomes costly and inefficient
Solution Approach 1:
The patent replaces the complex mechanical process of physically transporting products to different studio scenes with digital rendering. The 3D model is placed in virtual scenes with different lighting, backgrounds, and environments through software, achieving scene variation capability without the logistical complexity of coordinating multiple studio photography sessions
Solution Approach 2:
The patent transitions from physical scene changes (moving products between studios) to virtual scene changes (modifying digital environment parameters). By working in the digital dimension, the system can easily alter lighting conditions, backgrounds, and scene compositions without the physical constraints and complexity of coordinating multiple photography locations
Data Source
AI summary
According to at least one aspect, a system is provided. The system comprises a rotation device configured to rotate an object about an axis; a plurality of imaging sensors configured to image the object and comprising two imaging sensors that are disposed a fixed distance apart; and a computing device configured to: control the plurality of imaging sensors to capture a first set of images of the object in a first position; control the rotation device to rotate the object from the first position to a second position; control the plurality of imaging sensors to capture a second set of images of the object in the second position; generate a 3-dimensional (3D) model of the object using the first and second sets of images; and identify a scale of the 3D model of the object using the fixed distance.