Augmented Reality Anchor-Path Annotation for Spatial Measurement
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Solution Overview
Problem
Conventional methods for modeling and annotating physical environments using augmented and/or virtual reality are cumbersome, inefficient, and limited in functionality, often requiring multiple inputs and being restricted to real-time or previously-captured media, with limited views and interactions between virtual and physical objects.
Innovation Solution
Improved computer systems with intuitive user interfaces that allow for fewer inputs, enhanced views, and simplified interactions, including touch-sensitive displays and cameras, enabling efficient modeling, measuring, and drawing in augmented and virtual reality environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional methods of modeling and annotating physical environments using augmented and/or virtual reality are used, then the basic functionality is provided, but the methods are cumbersome and require multiple separate inputs to achieve an intended outcome
Solution Approach 1:
The patent combines multiple separate inputs (gestures and button presses) into a single unified gesture input system. Users can perform modeling, measurement, and drawing functions through integrated gestures that simultaneously activate multiple operations, eliminating the need for sequential button presses and separate gesture commands.
Solution Approach 2:
The system implements a universal gesture interface where a single gesture mechanism can perform multiple functions including modeling, measuring, annotating, and interacting with virtual objects. This multi-functional approach allows one input system to replace numerous specialized controls.
2Adaptability or versatility
If conventional methods of modeling and annotating physical environments using augmented and/or virtual reality are used, then the basic functionality is provided, but the methods are limited to real-time implementations or previously-captured media
Solution Approach 1:
The system performs preliminary actions by capturing and processing environmental data in advance, allowing users to work with pre-processed spatial information. This enables offline preparation of 3D models and annotations that can be later viewed and interacted with without real-time processing constraints.
Solution Approach 2:
The system dynamically adapts between real-time and offline modes, allowing users to switch between live augmented reality viewing and previously captured media. The interface and processing power adjust based on whether real-time interaction is required or post-processing is being performed.
3Adaptability or versatility
If conventional methods of modeling and annotating physical environments using augmented and/or virtual reality are used, then the basic functionality is provided, but the methods provide only limited views of physical environments/objects and of interactions between virtual objects and the physical environments/objects
Solution Approach 1:
The system transitions from traditional 2D screen-based views to immersive 3D spatial views, allowing users to perceive and interact with virtual objects in three-dimensional space. This enables natural depth perception and spatial understanding that flat screens cannot provide.
Solution Approach 2:
The system segments the viewing experience into multiple perspectives and interaction modes, allowing users to focus on specific aspects of the environment (modeling, measurement, annotation) while maintaining awareness of the overall context. Each function can be activated and deactivated independently.
4Productivity
If conventional methods of modeling and annotating physical environments using augmented and/or virtual reality are used, then the basic functionality is provided, but the methods take longer than necessary, thereby wasting energy
Solution Approach 1:
The system performs self-optimization by automatically adjusting processing intensity and display refresh rates based on current operational needs. When real-time interaction is not required, the system reduces processing power consumption while maintaining functionality, allowing battery-operated devices to operate longer without charging.
Data Source
AI summary
A computer system with a display generation component and one or more cameras displays a representation of a field of view of the one or more cameras. The representation of the field of view includes a representation of a subject that is in a physical environment, and a respective portion of the representation of the subject corresponds to an anchor point on the subject. The system updates the representation of the field of view over time based on changes in the field of view including movement of the subject that moves the anchor point. As the anchor point moves along a path in the physical environment, the corresponding portion of the representation of the subject changes along a corresponding path in the representation of the field of view. The system displays an annotation corresponding to at least a portion of the path corresponding to the anchor point.