3D Object Recognition from Single Image via Component Segmentation
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Solution Overview
Problem
Current technologies cannot effectively recognize a three-dimensional shape from a single plane image, especially for free-shape structures, as they require multiple images or assume a known structure, making user operations complex and limiting their applicability.
Innovation Solution
A program and system that captures images using an electronic device with an image capture device, extracts features to identify components, generates queries to retrieve three-dimensional models and constraint data from a component database, arranges components in a virtual space based on position and constraint data, and determines consistency to recognize the three-dimensional object, with the option to regenerate queries for improved recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple images are captured from different viewpoints to recognize three-dimensional shape, then the three-dimensional information can be obtained, but the user operations become complex
Solution Approach 1:
The system segments the three-dimensional object into multiple predefined components, each with unique identification features. By capturing a single image and identifying these component features, the system can reconstruct the three-dimensional shape without requiring multiple images from different viewpoints, thus simplifying user operations while maintaining recognition accuracy.
Solution Approach 2:
The system performs preliminary actions by pre-defining components and their characteristics before the actual recognition process. The component database stores pre-established three-dimensional models and constraint data, allowing the system to rapidly reconstruct objects from a single image without needing to perform complex multi-view analysis during operation.
2Ease of operation
If a specific target structure is assumed for shape recognition, then the recognition process can be simplified, but the technology cannot be applied to freely formed structures
Solution Approach 1:
The system divides any three-dimensional object into a set of predefined components with unique identification features. This segmentation approach allows the system to handle both structured and free-form objects uniformly, as long as they can be represented by combinations of these components, thereby maintaining simplicity while increasing versatility.
Solution Approach 2:
The component database contains a universal set of predefined components that can represent various types of objects. The system uses the same recognition and assembly process for all objects, regardless of their specific shape or structure, making the technology both simple to operate and highly adaptable to different object types.
3Ease of operation
If a single image is used for three-dimensional shape recognition, then user operations are simplified, but effective technology has not been established for free-shape structures
Solution Approach 1:
By segmenting the object into predefined components with unique identification features visible in a single image, the system can reliably reconstruct three-dimensional shapes of free-form structures. The component-based approach ensures that each component's position and orientation can be determined from a single view, maintaining both simplicity and reliability.
Solution Approach 2:
The system introduces an intermediary component database that stores pre-defined three-dimensional models and constraint data. This intermediary allows the system to bridge the gap between a single two-dimensional image and three-dimensional reconstruction, enabling reliable recognition of free-shape structures through a systematic intermediate processing step.
Data Source
AI summary
The present invention provides a program that makes it possible to recognize a three-dimensional shape from a single image.The present invention is a program for recognizing a three-dimensional object present in a real space and constituted of a plurality of predefined components. The program is executed by an electronic device provided with an image capture device for capturing an image of the three-dimensional object. The program causes the electronic device to execute an image recognition step, a query generation step, a data retrieving step, a component arrangement step, a consistency determination step, and in the case where it is determined that there is consistency, a three-dimensional object recognition step, and in the case where it is determined that there is no consistency, a database storage step, a query regeneration determination step, and a query regeneration step.