Brightness-Weighted Center of Gravity Object Position Detection
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Solution Overview
Problem
Existing image processing technologies face challenges in efficiently calculating the position and shape of objects, such as hands, in captured images without requiring complex image recognition processes, which increases processing load and reduces speed.
Innovation Solution
A portable device equipped with an infrared camera, distance measuring sensor, and projector that captures images and calculates the position and shape of objects using center-of-gravity position and brightness values, allowing for simple and efficient object detection without specifying the object area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex image recognition processes are used to specify object area and position, then measurement precision is improved, but device complexity and processing load increase
Solution Approach 1:
The patent extracts only the necessary information (center of gravity position and brightness) from the captured image, eliminating the need for complex image recognition processes to specify object area. This extraction approach achieves sufficient measurement precision while significantly reducing processing complexity
Solution Approach 2:
Instead of using complex recognition processes to first identify and then measure object position, the patent inverts the approach by directly calculating position through simple center of gravity computation on brightness-weighted pixels, achieving both simplicity and accuracy
2Measurement precision
If complex image recognition processes are used to specify object area, then measurement precision is improved, but processing speed decreases
Solution Approach 1:
The patent extracts only the essential features (center of gravity and brightness) from the captured image data, avoiding time-consuming complex image recognition processes. This selective extraction maintains measurement precision while dramatically improving processing speed
Solution Approach 2:
The patent applies partial action by calculating only the center of gravity position and brightness values rather than performing complete image recognition and area specification. This partial processing achieves sufficient accuracy for the intended application while reducing processing time
3Device complexity
If simple processes are used to calculate object position, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent changes the parameters used for position calculation by employing brightness-weighted center of gravity computation rather than simple geometric center calculation. This parameter change enables simple processing while maintaining adequate measurement precision through the brightness weighting factor
Data Source
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AI summary
A information processing system performs a process based on a captured image captured by an image-capturing device. The information processing device obtains information regarding brightness of each pixel based on the captured image. The information processing system calculates position information of the captured image, the position information representing deviation obtained with the brightness of each pixel being used as a weight. The position information is calculated for a predetermined area of the captured image. The information processing system performs a predetermined information process based on the position information.