Object Recognition Aligning 2D and 3D Sensor Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing object recognition systems face challenges in accurately recognizing the shape, position, and orientation of objects when two-dimensional and three-dimensional information is acquired in different directions, especially when the sensor is moved relative to the object, leading to inconsistencies in data alignment and increased processing requirements.
Innovation Solution
An object recognition apparatus that includes a two-dimensional sensor, a three-dimensional sensor, a storage unit, and an arithmetic operation unit. The sensors acquire information at different clock times, and the unit calculates the change in orientation between the sensor positions, converting three-dimensional information to align it with the two-dimensional information, allowing for accurate recognition of the object's state by combining both types of data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If two-dimensional and three-dimensional information are acquired at different clock times with sensor movement, then recognition can be performed with moved sensor enabling high-speed operation, but data alignment accuracy deteriorates due to orientation changes
Solution Approach 1:
The system performs preliminary actions by storing the relationship between sensor positions and orientations in advance, and by pre-calculating conversion formulas for transforming three-dimensional information between different coordinate systems. This allows the system to quickly align data during high-speed operation without real-time computation delays
Solution Approach 2:
The arithmetic operation unit acts as an intermediary that converts three-dimensional information from the second coordinate system to the first coordinate system using calculated conversion formulas. This intermediary transformation process enables accurate data alignment despite sensor movement between acquisitions
2Measurement precision
If three-dimensional information is converted to align with two-dimensional information, then data alignment accuracy is improved, but processing complexity increases
Solution Approach 1:
The system performs preliminary calculations to determine conversion formulas between coordinate systems based on stored sensor position and orientation relationships. By pre-computing these transformation parameters, the system reduces real-time processing complexity while maintaining high alignment accuracy
Solution Approach 2:
The arithmetic operation unit changes the coordinate system parameters of three-dimensional information to match the first coordinate system. This parameter transformation approach simplifies the alignment process by systematically adjusting spatial coordinates rather than performing complex geometric transformations
Data Source
AI summary
An object recognition apparatus includes a two-dimensional sensor for acquiring two-dimensional information of an object at a first clock time, a three-dimensional sensor for acquiring three-dimensional information of the object at a second clock time, a storage unit that associates and stores a first position of the two-dimensional sensor and the two-dimensional information, and a second position of the three-dimensional sensor and the three-dimensional information, and an arithmetic operation unit that calculates the amount of change in orientation between the orientation of the two-dimensional sensor and the orientation of the three-dimensional sensor based on the stored first position and second position, that converts the three-dimensional information acquired at the second position into three-dimensional information acquired at the first position based on the calculated amount of change in orientation, and that calculates the state of the object based on the converted three-dimensional information and the two-dimensional information.