Dynamic Guidance for Complete, Low-Artifact 3D Object Scanning
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Solution Overview
Problem
Users face challenges in creating high-quality 3D scans of objects due to lack of motivation, difficulty in determining scan quality, and immersion-breaking artifacts in augmented reality content, leading to disincentivization of further scanning.
Innovation Solution
Dynamic guidance is provided through image segmentation and real-time feedback using on-screen, haptic, and audio indicators to direct users in adjusting camera distance, orientation, and speed for optimal scanning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users scan objects without dynamic guidance, then the scanning process is simple and autonomous, but the scan quality is poor and incomplete
Solution Approach 1:
The system provides real-time feedback to users through visual indicators (e.g., colored outlines, arrows) and haptic feedback (vibrations) that indicate whether the camera is positioned correctly for scanning. This feedback loop guides users to maintain optimal scanning conditions without requiring them to understand complex scanning parameters, thus improving scan quality while keeping the operation simple.
Solution Approach 2:
The patent introduces an intermediary system (the guidance software) that mediates between the user and the scanning process. This intermediary translates complex scanning requirements into simple visual and haptic cues, allowing users to achieve high-quality scans without needing to understand the technical parameters of proper scanning technique.
2Manufacturing precision
If users are provided with detailed scanning instructions, then scan completeness improves, but user motivation decreases due to complexity
Solution Approach 1:
The guidance system applies different types of feedback for different scanning conditions: visual indicators (colored outlines, arrows) for positional guidance, haptic feedback for motion guidance, and progress indicators for completion status. This localized application of different feedback types ensures comprehensive guidance without presenting a uniformly complex interface.
Solution Approach 2:
The system uses color changes in visual indicators (e.g., green checkmarks for correct positioning, red warnings for incorrect positioning) to communicate scanning status instantly and intuitively. This allows users to understand scan completeness through simple color cues rather than complex data displays, maintaining motivation while ensuring completeness.
3Productivity
If users move the camera quickly to scan multiple objects, then productivity increases, but scan quality deteriorates
Solution Approach 1:
The guidance system provides periodic feedback cues (visual and haptic) that rhythmically guide users through the scanning process. This periodic feedback maintains a steady scanning pace, preventing users from moving too quickly (which would reduce quality) or too slowly (which would reduce productivity), thus optimizing both speed and quality simultaneously.
4Manufacturing precision
If the system provides real-time feedback during scanning, then scan quality improves, but energy consumption increases
Solution Approach 1:
The real-time feedback system operates continuously throughout the scanning process, providing uninterrupted guidance to ensure high scan accuracy. The system maintains active processing of camera input and generation of feedback cues without interruption, ensuring that users receive consistent guidance information to achieve accurate scans.
Data Source
AI summary
A user selects an object on the display of a mobile device and a corresponding coordinate in a 3D map including the object is selected. A bounding volume and center point of the object in 3D space is estimated based on segmenting the image to identify the object and the depth of pixels in the segmented region depicting the object. The user follows an approximately circular path around the object, pointing a camera at the object, and receives audio and/or haptic feedback regarding orientation of the camera, distance from the object, or speed of progression along the path. As the user moves the camera, a 3D scan of the object is generated. The center point of the object may be recalculated as the user progresses along the path.