Image Template Matching for Camera Alignment
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Solution Overview
Problem
Amateur photographers face challenges in capturing professional-grade images due to difficulties in employing auto-focusing, composition, lighting, aperture, shutter speed, and sensitivity, especially in dynamic or high-speed scenarios, requiring significant practice and expertise.
Innovation Solution
A device and method using image templates to determine the position and orientation of a target object, rendering an image template on a display, capturing images, extracting features, and matching them with the template to generate an alert signal for optimal image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If amateur users attempt to capture professional-grade photos using manual control of focus, composition, lighting, aperture, shutter speed, and sensitivity, then image quality may improve, but the complexity of operation increases significantly requiring hard work and practice
Solution Approach 1:
The system automatically performs focus adjustment, composition verification, and parameter optimization without requiring manual intervention from the user. The device captures images autonomously based on predefined templates, eliminating the need for users to manually control multiple photographic parameters while still achieving professional-grade results
Solution Approach 2:
The system pre-defines optimal parameter combinations for various shooting scenarios and automatically selects and applies the appropriate parameters based on the current situation. This allows the device to maintain high image quality across different conditions without requiring the user to understand or manually adjust complex photographic parameters
2Measurement precision
If users manually adjust camera settings for dynamic or high-speed scenarios, then capture accuracy may improve, but the time required for proper positioning and adjustment increases
Solution Approach 1:
The system pre-defines multiple image templates corresponding to different dynamic scenarios and optimal capture parameters in advance. When a scenario is detected, the appropriate pre-configured template and parameters are immediately applied, eliminating the need for real-time manual adjustment during fast-changing situations
Solution Approach 2:
The system continuously monitors the captured images and compares them against the predefined templates in real-time. When the actual image matches the template criteria, the system automatically triggers the capture, ensuring high accuracy without requiring manual timing or positioning adjustments by the user
3Manufacturing precision
If professional equipment and techniques are used to capture images in high-speed sports, then image quality improves, but the difficulty of operation and expertise required increases
Solution Approach 1:
The system autonomously handles all aspects of image capture including scenario detection, parameter selection, timing, and triggering. This automation allows the device to perform at a professional level without requiring the operator to have professional knowledge or skills in photography or the specific sport being captured
Solution Approach 2:
The system introduces an intelligent processing layer between the raw sensor data and the final captured image. This intermediary automatically analyzes the scene, compares it against predefined templates, and makes all necessary adjustments and decisions, effectively bridging the gap between simple operation and professional results
Data Source
AI summary
Method and device for capturing images of a target object using image templates at a device are disclosed. The method includes rendering an image template on the display for determining a position of the target object in an image to be captured using the device; capturing a first image of the target object using the image sensor and displaying the captured first image on the display while keeping the image template on the display; extracting one or more features associated with the position of the target object from the captured first image; determining whether the one or more features extracted from the captured first image match the image template; and generating an alert signal in accordance with a determination that at least one of the one or more features extracted from the captured first image matches the image template.