Object-Based 3D Stereo Information Generation Using Multi-Camera Extraction
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Solution Overview
Problem
Existing interactive systems that generate 3D stereo information are limited by the need for predefined object shapes, reliance on color contrast, and high processor loading, which restricts the use of arbitrary objects and accuracy in 3D information calculation.
Innovation Solution
An object-based 3D stereo information generation method using at least two image capturing units, a light emission source, and a processor circuit to extract and transform 2D images into 3D information without predefining object shapes or requiring high color contrast, allowing for the use of any object and reducing processor loading through low-bandwidth communication and feature-based calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If predefined object shapes and color contrast are used for 3D information generation, then measurement precision can be improved, but adaptability deteriorates because users cannot arbitrarily use any object
Solution Approach 1:
The system changes the detection parameters from requiring specific color contrasts and predefined shapes to detecting objects based on their motion trajectories and spatial relationships. By using multiple cameras to capture 2D images and calculating 3D information through coordinate transformation, the system can accurately detect any object shape without predefined requirements, thus improving adaptability while maintaining measurement precision.
2Measurement precision
If color contrast is used to identify objects, then measurement precision improves, but reliability deteriorates when the borderline between colors is shielded
Solution Approach 1:
The system introduces an intermediary approach by using multiple cameras to capture 2D images from different perspectives. Instead of relying on color contrast alone, the system uses the spatial relationships and motion trajectories of objects across multiple images to calculate 3D information. This intermediary method of using multiple viewing angles ensures reliable detection even when color boundaries are shielded or indistinct.
3Measurement precision
If multiple widths are continuously calculated for 3D information generation, then measurement precision improves, but device complexity increases due to high processor loading
Solution Approach 1:
The system extracts only the essential information needed for 3D reconstruction from the 2D images captured by multiple cameras. Instead of continuously calculating multiple widths, the system extracts key feature points and their trajectories, then uses coordinate transformation to generate 3D information. This extraction approach significantly reduces processor loading while maintaining measurement precision.
Data Source
AI summary
The present invention relates to an object-based 3-dimensional stereo information generation apparatus and method, and an interactive system using the same. The method comprises: obtaining at least two 2-dimensional images with respect to the same space at a first time point; extracting objects from the at least two 2-dimensional images, respectively; establishing correspondences between objects; and generating 3-dimensional stereo information according to corresponding objects. The apparatus and interactive system comprises: at least two image capturing units for respectively capturing 2-dimensional images; and processing means for generating 3-dimensional stereo information according to the captured 2-dimensional images.