Contextual AR Object Selection via Image Segmentation
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Solution Overview
Problem
Augmented reality applications face challenges in merging virtual objects with real environments in a way that provides a satisfactory user experience, as existing technologies struggle to dynamically adapt to changing contextual cues such as user expressions, environmental conditions, and time.
Innovation Solution
An electronic device with a camera, processor, and sensors selects and modifies augmented reality objects based on contextual cues like user expressions, weather, and environmental information, dynamically changing the AR objects to reflect changing contexts, using image segmentation and machine vision techniques to composite the AR objects with real environment images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If augmented reality objects are statically displayed without contextual adaptation, then device complexity is reduced, but user experience and contextual relevance deteriorate
Solution Approach 1:
The patent implements dynamic AR object selection by continuously monitoring contextual cues (facial expressions, environment, time, weather) and automatically adjusting which AR objects are displayed. The system transitions from static to dynamic content delivery, where AR objects change in real-time based on detected contextual parameters, resolving the contradiction between adaptability and complexity through automated dynamic adjustment.
Solution Approach 2:
The system employs machine learning models and image segmentation algorithms that automatically analyze contextual cues and select appropriate AR objects without requiring manual user input or complex configuration. The device serves itself by autonomously interpreting contextual data and making content selection decisions, improving adaptability while managing complexity through self-service automation.
2Reliability
If multiple contextual cues are processed to select AR objects, then user experience is improved, but processing time and computational load increase
Solution Approach 1:
The system pre-processes and categorizes different types of contextual cues (facial expressions, environmental features, time, weather) into structured data formats before they are needed for AR object selection. By preparing contextual data in advance and organizing it into usable formats, the system reduces real-time processing requirements while maintaining high user experience quality.
Solution Approach 2:
The patent applies image segmentation techniques to divide complex visual input into distinct contextual elements (e.g., separating facial features from background environment). This segmentation allows the system to process different contextual cues independently and in parallel, reducing overall processing time while maintaining comprehensive contextual analysis for reliable AR object selection.
3Adaptability or versatility
If AR objects are dynamically modified based on contextual cues, then contextual relevance is improved, but integration precision with real environment may deteriorate
Solution Approach 1:
The system applies different processing and selection strategies to different types of AR objects based on their specific requirements and the relevant contextual cues. Instead of uniformly processing all AR objects, the system tailors the selection and modification process to each object type and its appropriate contextual parameters, maintaining integration precision while achieving contextual relevance through localized optimization.
Data Source
AI summary
Disclosed are various embodiments for selecting augmenting reality (AR) objects based on contextual cues associated with an image captured by a camera associated with electronic device. Contextual cues are obtained at an electronic device and AR objects are identified from a memory associated with the electronic device. The electronic device implements a processor employing image segmentation techniques to combine the identified AR objects with the captured image and render the combined image for display at a display associated with the electronic device.