Semantic 3D Reconstruction Guidance for Incomplete Surface Capture
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Solution Overview
Problem
Existing image-based 3D reconstruction methods using hand-held cameras struggle with incomplete scanning, particularly for large objects, leading to incomplete 3D models due to missing parts, and existing guidance systems are either ineffective or difficult for consumers to follow.
Innovation Solution
A device and method that utilizes semantic information extraction to determine the class of a subject, estimate incomplete semantic parts of a 3D model, and provide clear guidance through sound, text, or figure cues to capture missing parts, using a mobile system with a camera and processor to update and deform template models for accurate scanning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If spatial guidance arrows are overlaid on camera preview to indicate scanned and unscanned parts, then users can understand which parts are taken, but the arrows may become invisible when the target object is large
Solution Approach 1:
The patent transitions from 2D overlay indicators (arrows on camera preview) to 3D virtual models that surround the target object in three-dimensional space. These 3D indicators are positioned at different spatial locations and orientations, allowing them to remain visible regardless of the target object's size. The virtual camera model and scanned surface visualization provide multi-dimensional feedback that overcomes the limitations of flat 2D overlays.
2Ease of operation
If movement guidance arrows are provided to specify preferred camera movement, then users can follow scanning directions, but users cannot know exactly which parts are not taken and should be scanned
Solution Approach 1:
The system implements real-time feedback by continuously visualizing the scanned surface area on a 3D virtual model of the target object. As the user captures images, the corresponding regions on the virtual model are highlighted or colored to indicate they have been scanned. Unscanned regions remain unhighlighted or are shown in different colors, providing immediate feedback about which parts need attention. This feedback loop enables users to understand scanning completeness while following movement guidance.
Solution Approach 2:
The patent introduces a virtual camera model and scanned surface visualization as an intermediary between the physical camera and the target object. This virtual representation serves as a mediator that displays scanning progress and guides user actions. The virtual model translates complex scanning status information into intuitive visual feedback, helping users understand which parts are captured and which remain incomplete without directly obscuring the view of the target object.
3Device complexity
If single frontal image is used for 3D reconstruction, then no guidance for capturing multiple images is required, but the back of the 3D model has artifacts with inaccurate shapes and colors
Solution Approach 1:
The system performs preliminary analysis of the captured images to generate a preliminary 3D model and identify incomplete or artifact-prone regions. Based on this preliminary assessment, the system proactively provides guidance to users about which additional views or angles need to be captured. This preliminary action enables the system to anticipate completeness issues before final reconstruction, allowing users to capture necessary additional images while maintaining simple operation through automated guidance.
Data Source
AI summary
A device for reconstructing a 3D model is disclosed. The device includes: a camera; and a processor configured to: determine a class of a subject; capture one or more images of the subject by using the camera; extract semantic information from the one or more images based on the determined class; update the 3D model by using the one or more images; estimate incomplete semantic parts of the 3D model; and present semantic guidance for a user to capture the incomplete semantic parts. In this way, clearly understandable guidance is provided for reconstructing a complete 3D model.


