Reflective Object Recognition for 3D Content Placement
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Solution Overview
Problem
Existing electronic devices struggle to efficiently detect mirrors in a physical environment and provide context-based virtual content that enhances user experience.
Innovation Solution
The system detects mirrors using sensor data, determines their 3D position, and presents virtual content based on this position, incorporating context such as time of day, user activity, and physiological data to enhance user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mirrors are detected using sensor data and machine learning techniques, then the accuracy of mirror detection is improved, but the device complexity increases
Solution Approach 1:
The patent combines multiple sensor types (camera, depth sensor, motion sensor) and integrates them with machine learning algorithms to create a unified mirror detection system. This merging of detection methods improves accuracy while managing complexity through integrated processing.
Solution Approach 2:
The patent replaces manual mirror identification with automated sensor-based detection and machine learning classification. The system uses computational methods to identify mirrors and determine their 3D positions, eliminating the need for mechanical or manual intervention in the detection process.
2Ease of operation
If virtual content is positioned at 3D locations based on mirror detection, then the immersion and user experience are improved, but the computational requirements and device complexity increase
Solution Approach 1:
The patent transitions from 2D display to 3D virtual content positioning by utilizing depth data from sensors. The system calculates 3D coordinates of mirrors and positions virtual content at corresponding 3D locations, creating immersive spatial experience that enhances user interaction.
Solution Approach 2:
The patent introduces 3D spatial coordinates as an intermediary between the physical mirror location and the virtual content display. This intermediary representation enables accurate positioning of virtual content in three-dimensional space, improving immersion while managing rendering complexity through structured coordinate transformation.
3Reliability
If multiple sensors and machine learning algorithms are used for mirror detection, then the reliability of detection is improved, but the processing time and energy consumption increase
Solution Approach 1:
The patent performs preliminary sensor data collection and preprocessing before applying machine learning algorithms. By preparing and filtering data in advance, the system reduces the computational burden during critical detection phases, thereby lowering overall energy consumption while maintaining high detection reliability.
Solution Approach 2:
The patent implements continuous sensor data streaming with background processing, allowing mirror detection to occur smoothly without interrupting user interaction. This continuous operation distributes computational load over time, reducing peak energy consumption while maintaining consistent detection reliability.
Data Source
AI summary
Various implementations disclosed herein include devices, systems, and methods that present virtual content based on detecting a reflective object and determining a three-dimensional (3D) position of the reflective object in a physical environment. For example, an example process may include obtaining sensor data in a physical environment that includes one or more objects. The method may further include detecting a reflection of a first object of the one or more objects upon a reflective surface of a reflective object based on the sensor data. The method may further include determining a 3D position of the reflective object in the physical environment based on determining a 3D position of the reflection of the first object. The method may further include presenting virtual content in a view of the physical environment. The virtual content may be positioned at a 3D location based on the 3D position of the reflective object.