Depth Camera Location Conversion via Map Data
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Solution Overview
Problem
Existing depth camera technologies are limited in their ability to provide location data for users and objects within a space, primarily being used for interaction with devices like gaming consoles, and lack the capability to convert camera-based coordinates into space-based coordinates for broader applications and scenarios.
Innovation Solution
A service incorporating a location conversion mechanism that converts camera-based coordinates into space-based coordinates using map data, allowing location data to be output for various applications and devices, enabling actions such as content selection, gameplay modification, and environmental control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If depth camera data is used for gaming console interaction, then device interaction capability is improved, but application versatility is limited
Solution Approach 1:
The patent implements a coordinate conversion mechanism that transforms camera coordinates into map coordinates, enabling the depth camera system to serve multiple applications beyond gaming. The location service can now support navigation, location-based content delivery, and integration with various mobile devices, making the system universal across different application domains.
2Device complexity
If camera-based coordinates are used directly, then measurement simplicity is maintained, but location accuracy in real-world space is insufficient
Solution Approach 1:
The patent introduces a coordinate conversion mechanism as an intermediary layer between the camera coordinate system and the real-world map coordinate system. This mediator transforms camera coordinates into map coordinates using map data, thereby maintaining the simplicity of camera-based measurement while achieving accurate real-world location precision.
3Measurement precision
If location conversion mechanism is added, then location accuracy is improved, but system complexity increases
Solution Approach 1:
The coordinate conversion mechanism utilizes existing map data and the camera's inherent coordinate information to perform self-service location conversion. The system automatically transforms camera coordinates into map coordinates without requiring external intervention or complex additional hardware, thereby improving location accuracy while minimizing the increase in system complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise tracking of users and objects within a space, allowing for immersive experiences and automated actions across multiple devices and applications, enhancing user experiences and interaction with environments.
Implementation Method 1
such relatively inexpensive, commercially available cameras are based upon time-of-flight, where emitted infrared radiation is reflected back to a sensor, with the reflection time corresponding to the distance to objects in the field of view
Data Source
AI summary
The subject disclosure is directed towards obtaining relatively precise location data with respect to a mapped space, based upon depth camera coordinates, for tracking a user or other object within the space. Also described are usage scenarios and user experiences that are based upon the current location data.