Automated Human Body Model Generation via Image Contour Mapping
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Solution Overview
Problem
Current human body modeling methods are inefficient and lack realism, requiring significant manual effort and resulting in lower matching degrees with users' actual body shapes, which hampers user experience in industries like smart medicine and gaming.
Innovation Solution
A method and device for creating customized human body models by comparing user-specific body part measurements with standard references, adjusting bone and surface feature points to match user images, and displaying abnormal figure information for improved accuracy and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual modeling method is used to generate human body model, then the model can be created with basic functionality, but the modeling efficiency is low and the matching degree with user's real body shape is poor
Solution Approach 1:
The patent uses image copying technology to transfer 2D body contour information from user photos onto a 3D human body model. The system automatically extracts body contour lines from input images and maps them onto the corresponding 3D model surfaces, enabling rapid replication of user's actual body shape without manual modeling operations. This resolves the contradiction by achieving both high efficiency (automatic processing) and high precision (direct copying of real body contours).
Solution Approach 2:
The patent replaces the mechanical manual modeling process with an automated image processing and computer vision system. Instead of requiring modelers to manually manipulate 3D software tools, the system automatically detects body features, extracts contour information, and adjusts the 3D model parameters through algorithmic processing. This substitution dramatically improves both efficiency and accuracy while eliminating human error and subjectivity in the modeling process.
2Ease of operation
If manual modeling is performed to create customized human body model, then the model can be generated, but it requires a lot of manual work and time consumption
Solution Approach 1:
The system enables self-service modeling where users independently complete the entire modeling process by simply uploading photos. The automated system handles all complex processing including image preprocessing, contour extraction, feature point detection, and 3D model adjustment without requiring user expertise in modeling techniques. This makes the operation extremely simple for users while completing the task in minutes rather than hours or days of manual work.
Solution Approach 2:
The patent implements preliminary preparation of standard 3D human body models with pre-defined anatomical structures, control points, and parameter sets. Before actual customization begins, the system has ready-made templates that can be rapidly adapted to individual users. This preliminary setup enables the system to quickly generate customized models by only adjusting necessary parameters based on user input, dramatically reducing the time required for each individual modeling task while maintaining operational simplicity.
3Ease of manufacture
If standard human body model is used without customization, then the modeling process is simple, but the model lacks reality and cannot significantly improve user experience
Solution Approach 1:
The patent applies local quality customization by allowing different parts of the 3D model to be adjusted independently based on user-specific measurements extracted from photos. Rather than uniformly modifying the entire model, the system selectively adjusts local regions such as body contours, limb proportions, and facial features to match the user's actual anatomy. This approach maintains the simplicity of using standardized base models while adding realistic individualized details where needed, thus improving realism without significantly complicating the overall modeling process.
Data Source
AI summary
Provided are a modeling method and a modeling device for a human body model, an electronic device, and a storage medium. The modeling method includes: acquiring a human body size of the user; performing a scaling process on a standard human body model, to obtain a reference human body model; acquiring a human body image of the user; obtaining sizes of body parts of the user; determining to-be-moved target positions of each reference body surface feature point and the reference bone point of each set of reference control points of the reference human body model; adjusting each reference body surface feature point and each reference bone point of the reference human body model to the to-be-moved target positions to obtain the customized human body model of the user.