Automatic Camera Positioning for Home Game Consoles
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Solution Overview
Problem
Existing information processing systems for home-use game machines require users to manually measure and set the relative positions of multiple cameras, which is burdensome and time-consuming.
Innovation Solution
The system employs first and second detection devices to image a real space, obtaining three-dimensional information including distance and direction data, which is then used to calculate and generate information about the relative positions and installation directions of the cameras, facilitating automatic setup.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement and setting of camera positions is implemented, then measurement precision is improved, but ease of operation deteriorates and loss of time increases
Solution Approach 1:
The system performs self-calibration by automatically calculating relative positions and installation directions of multiple cameras using image data captured by the cameras themselves. The calibration process is executed autonomously without requiring manual measurement tools or user intervention, allowing the system to configure itself automatically.
Solution Approach 2:
The patent replaces manual mechanical measurement processes with an automated image processing system. Instead of using physical measurement tools and manual calculation, the system uses computer vision algorithms to detect feature points in images and compute camera parameters automatically through mathematical processing of image data.
2Measurement precision
If manual measurement and setting of camera positions is implemented, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary calibration actions automatically during the initial setup phase by capturing images and computing camera parameters before actual use. This preliminary automated calibration eliminates the need for time-consuming manual measurement procedures that would otherwise be required before the system becomes operational.
Solution Approach 2:
The patent replaces manual mechanical measurement processes with an automated image processing system. Instead of using physical measurement tools and manual calculation, the system uses computer vision algorithms to detect feature points in images and compute camera parameters automatically through mathematical processing of image data.
3Ease of operation
If automatic calculation of camera positions is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system uses a universal image processing framework that can handle multiple camera configurations and scenarios. The same core algorithm processes images from different camera arrangements (different numbers of cameras, various positions and orientations) to calculate relative positions and installation directions, making the system adaptable without requiring separate specialized procedures for each configuration.
Solution Approach 2:
The patent introduces an intermediary image processing system that mediates between the raw image data captured by multiple cameras and the final camera parameter calculations. This intermediary layer detects feature points, establishes correspondences between images, and performs mathematical computations to derive camera positions and orientations, simplifying the overall process while managing complexity through modular processing steps.
Data Source
AI summary
In a system, first and second detection devices are provided in mutually different places in a real space and each configured to image the real space and obtain three-dimensional information including data of a distance to a predetermined point on an object provided in the real space and direction information as to a direction of a predetermined part of the object. The system generates information related to relative positions and installation directions of the first and second detection devices on the basis of: the data of the distance to the predetermined point on the object and the direction information regarding the object, the data of the distance and the direction information being obtained by the first detection device; and the data of the distance to the predetermined point on the object and the direction information regarding the object, the data of the distance and the direction information being obtained by the second detection device.


