Mobile Rollout Photography for Cylindrical Surface Stitching
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Solution Overview
Problem
Mobile devices lack the capability to perform effective rollout photography for capturing detailed images of cylindrical-shaped objects due to the absence of vertical slit apertures, and existing panoramic photography features are insufficient for this purpose.
Innovation Solution
Mobile devices employ multiple capture modes to obtain image segments by selecting subsections of image frames, utilizing artificial intelligence for object detection and image segmentation, and stitching these segments to generate a single 2D image of the object's surface, with guidance provided through a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple image frames are captured and combined to create a 2D representation of a cylindrical object, then the completeness of surface coverage is improved, but the device complexity increases
Solution Approach 1:
The patent divides the cylindrical object's surface into multiple image frames captured at different positions. Each frame captures a segment of the surface, and these segments are then stitched together to form a complete 2D representation. This segmentation approach enables comprehensive surface coverage while using standard mobile device camera hardware, avoiding the need for complex specialized imaging equipment.
2Measurement precision
If image processing algorithms are enhanced to stitch multiple frames, then the image quality is improved, but the processing time increases
Solution Approach 1:
The patent performs preliminary actions during the image capture phase by organizing frames in a systematic sequence and pre-identifying key features for stitching. This preparation work is done before the actual stitching process, allowing the image processing algorithm to work more efficiently with pre-organized data, thereby reducing the overall processing time while maintaining high image quality.
Data Source
AI summary
Systems and techniques are described herein for rollout photography for mobile devices. For example, a computing device (e.g., a mobile device) can obtain, from a camera, a plurality of image frames of an object while at least one of the apparatus or the object is moving relative to each other. The computing device can determine a plurality of image segments from the plurality of image frames of the object. The plurality of image segments include a respective image segment from each image frame of the plurality of image frames. The computing device can combine the plurality of image segments to generate a single two-dimensional (2D) image of a surface of the object.