3D Mesh Generation from Scanned Object Edges
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional three-dimensional scanning systems generate overwhelming numbers of polygons, making scanned objects un-editable and fail to produce user-friendly models with features like edges and surface irregularities, requiring expensive equipment and time-consuming processes.
Innovation Solution
The system receives a scan of a three-dimensional object with custom mesh lines, generates an edge map by detecting edges in a two-dimensional image, and constructs a three-dimensional mesh using depth information, allowing for intuitive and user-friendly model creation without specialized equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional scanning systems generate three-dimensional models using point cloud polygons, then complete surface coverage is achieved, but the models become un-editable and overly complex
Solution Approach 1:
The patent segments the continuous surface into structured mesh lines that follow the object's contours and features. Instead of using millions of random polygons, the surface is divided into organized segments defined by detected edges and contours, creating an editable mesh structure that maintains accuracy while reducing complexity
Solution Approach 2:
The patent extracts only the essential structural information (edges, contours, and significant surface features) from the complete point cloud data. By taking out and emphasizing only the critical geometric elements needed for editing and representation, the system creates simplified yet accurate models without requiring all original polygon data
2Adaptability or versatility
If conventional scanning systems are used, then three-dimensional modeling is available, but expensive specialized equipment and point-tracking devices are required
Solution Approach 1:
The patent uses a standard camera to capture two-dimensional images that serve as copies of the three-dimensional object's surface. By processing these image copies through edge detection and mesh construction algorithms, the system recreates the 3D model without needing specialized scanning hardware or point-tracking devices
Solution Approach 2:
The patent replaces the mechanical point-tracking system with an optical imaging system. Instead of using mechanical devices to track and digitize points on the object surface, the system uses camera-based optical capture combined with computational edge detection and mesh generation algorithms to achieve the same modeling goal
3Ease of operation
If hand-drawn control guidelines are used with point-tracking devices, then user-friendly models with proper edge loops are created, but the process is extremely time-consuming and cannot be interrupted
Solution Approach 1:
The patent enables the system to automatically perform the work that previously required manual artist intervention. By implementing automated edge detection, contour tracking, and mesh construction algorithms, the system serves itself in creating editable models with proper structure lines, eliminating the need for time-consuming manual guideline drawing
Solution Approach 2:
The patent performs preliminary edge detection and mesh structure preparation automatically during the scanning process itself. By detecting edges and constructing the mesh framework before the user needs to edit the model, the system prepares the editable structure in advance, allowing users to skip the time-consuming manual guideline drawing step
Data Source
AI summary
The present disclosure is directed toward systems and methods that facilitate scanning an object (e.g., a three-dimensional object) having custom mesh lines thereon and generating a three-dimensional mesh of the object. For example, a three-dimensional modeling system receives a scan of the object including depth information and a two-dimensional texture map of the object. The three-dimensional modeling system further generates an edge map for the two-dimensional texture map and modifies the edge map to generate a two-dimensional mesh including edges, vertices, and faces that correspond to the custom mesh lines on the object. Based on the two-dimensional mesh and the depth information from the scan, the three-dimensional modeling system generates a three-dimensional model of the object.