Automated Image Stitching System for Mosaic Generation
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Solution Overview
Problem
Conventional image combining systems require complex and subtle operations, such as camera movements and alignments, to generate mosaic images with wider viewing angles and higher definitions, especially when photographing subjects that are broad in both vertical and horizontal directions.
Innovation Solution
A data processing unit calculates image conversion parameters to geometrically convert and combine partial images, eliminating the need for user-controlled camera movements and alignments, while displaying current and mosaic images to guide the user in completing the photography of a subject.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the camera is moved manually to photograph partial images with overlapping portions, then mosaic images can be generated, but the operation becomes very complicated and difficult for users
Solution Approach 1:
The system automatically performs camera movement control and partial image stitching without requiring user intervention. The control unit autonomously moves the camera to capture overlapping partial images and processes them to generate the mosaic image, eliminating the need for manual alignment operations.
Solution Approach 2:
The patent replaces manual mechanical camera movement with automated control. The control unit electronically controls the camera's movement and positioning, substituting the mechanical manual operation with an automated control system that calculates and executes precise camera positions for capturing partial images.
2Stability of the object's composition
If the camera is moved in parallel with the imaging plane to maintain continuity, then boundary discontinuity is avoided, but the user must perform subtle operations which are very difficult
Solution Approach 1:
The system uses feedback from image analysis to automatically adjust camera movement. The control unit analyzes the captured images, determines the positional relationships between partial images, and automatically adjusts subsequent camera movements to ensure proper overlap and continuity, eliminating the need for manual parallel movement control.
Solution Approach 2:
The control unit acts as an intermediary between the camera and the user. It receives high-level instructions from the user, automatically calculates the precise camera movements and alignments needed, and executes them, thereby mediating the complex coordination between camera movement and image continuity.
3Area of stationary object
If exhaustive photographing of the subject is performed to ensure complete coverage, then no partial images are missed, but the operation time and complexity increase
Solution Approach 1:
The system performs preliminary planning of the photographing path and coverage area. The control unit calculates the optimal sequence and positions for capturing partial images to ensure complete subject coverage, allowing the user to simply follow the guided movements without exhaustive trial-and-error photographing.
Solution Approach 2:
The system dynamically adjusts the photographing plan based on real-time feedback. The control unit monitors the captured images and automatically modifies subsequent camera movements and coverage areas to ensure complete subject coverage while minimizing the number of shots required, adapting the photography process dynamically rather than following a fixed exhaustive schedule.
Data Source
AI summary
A data processing unit calculates image conversions parameters corresponding to each partial image, geometrically converts photographed partial images on the basis of a current partial image based on the calculated image conversion parameters, and combines them to generate a mosaic image. Also, a display device displays each current partial image, and at least part of the generated mosaic image.