3D Control Point Recognition via Depth Block Segmentation
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Solution Overview
Problem
Existing multi-touch systems face challenges in accurately recognizing three-dimensional control points due to complex backgrounds and misjudgment, particularly in distinguishing control points nearest to the camera within three-dimensional control regions.
Innovation Solution
A method that involves receiving depth information from an image capturing apparatus, generating three-dimensional block information, creating reference planes, and forming connection groups to select the nearest three-dimensional block as a control point, thereby improving accuracy and reducing noise interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If depth information is used to generate three-dimensional block information and connection groups, then measurement precision of control point recognition is improved, but device complexity increases due to multiple processing steps including generating reference planes and connection groups
Solution Approach 1:
The image processing is divided into distinct segments: depth information extraction, three-dimensional block generation, reference plane creation, and connection group formation. Each segment handles a specific aspect of the processing, making the complex system manageable and modular while achieving high precision control point recognition
Solution Approach 2:
Reference planes and connection groups are introduced as intermediary structures that facilitate the transition from raw depth information to final control point identification. These intermediaries organize the three-dimensional space and establish relationships between blocks, enabling accurate nearest control point selection without requiring direct complex calculations
2Reliability
If three-dimensional block information and connection groups are generated to filter noise, then reliability of control point recognition is improved, but loss of time increases due to multiple processing steps
Solution Approach 1:
The system performs preliminary actions by pre-generating three-dimensional block information, reference planes, and connection groups before final control point recognition. This preprocessing organizes the spatial data structure in advance, enabling faster and more reliable control point identification during actual operation without repeated complex calculations
Solution Approach 2:
The patent transitions from two-dimensional image processing to three-dimensional space analysis by generating three-dimensional blocks from depth information. This dimensional expansion adds depth perception and spatial context, improving reliability of control point recognition by distinguishing foreground objects from background noise through depth-based differentiation
Data Source
AI summary
A method for recognizing three-dimensional control points and a computer readable medium using the same are disclosed. The method for recognizing three-dimensional control points comprises the following steps. A depth information item corresponding to an image captured by an image capturing apparatus is received. A three-dimensional block information item corresponding to a three-dimensional block is generated according to the depth information. At least one reference plane is generated according to the depth information. At least one connection group is generated according to the three-dimensional block information and the reference plane. A three-dimensional block nearest to the image capturing apparatus is selected as a control point from the connection group.