Mobile Image Tilt Correction via Motion Sensor Data
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Solution Overview
Problem
Images captured with mobile devices often appear tilted due to irregularities in the image capture process, making them aesthetically undesirable and unfaithful to the reality depicted.
Innovation Solution
The system acquires motion sensor data from mobile devices to determine the angle of rotation necessary to correct tilted images, allowing for automatic or user-initiated transformation to straighten and scale images based on the viewing frame dimensions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If images are captured manually with mobile devices, then users have flexibility in taking pictures, but the images often appear tilted due to irregularities in the capture process
Solution Approach 1:
The system performs preliminary detection of tilt angle using motion sensor data at the moment of image capture, and pre-calculates the correction parameters before the user views or edits the image. This preliminary correction action ensures that images are automatically straightened based on detected orientation, resolving the alignment accuracy issue while preserving manual capture flexibility
Solution Approach 2:
The patent introduces motion sensor data as an intermediary element that mediates between the physical capture process and the digital image processing. The motion sensors detect device orientation and tilt, providing intermediate data that bridges the gap between manual capture flexibility and automated correction precision, enabling the system to compensate for tilt without constraining user operation
2Manufacturing precision
If automatic tilt correction is applied to all images, then image alignment quality improves, but processing time and computational resources increase
Solution Approach 1:
The system performs self-service by automatically detecting tilt angle from motion sensor data and applying correction without requiring user intervention. The correction process is autonomously executed based on predefined algorithms that calculate rotation parameters from sensor readings, enabling rapid processing that minimizes time loss while maintaining high alignment accuracy
Solution Approach 2:
The tilt correction is performed preliminarily at the time of image capture or during initial image processing, rather than waiting for user request or post-processing. This preliminary action leverages the already-acquired motion sensor data to immediately correct images, reducing overall processing time while ensuring consistent alignment quality across all captured images
3Measurement precision
If tilt angle detection is performed using motion sensors, then correction accuracy improves, but device complexity increases
Solution Approach 1:
The patent leverages the universality of motion sensors, which are already integrated into mobile devices for other functions such as step counting, screen orientation, and gaming. By reusing this existing hardware for tilt detection, the system achieves high measurement precision without adding dedicated components, thereby minimizing the increase in device complexity
Solution Approach 2:
The motion sensor data serves as an intermediary that provides precise tilt angle information without requiring direct physical measurement of the image frame. This intermediary approach allows the system to achieve accurate tilt detection through software processing of sensor readings, avoiding the need for complex hardware modifications or additional specialized sensors
Data Source
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AI summary
Systems, methods, and computer-readable media acquire an image captured with a mobile device. Motion sensor data of the mobile device at or near a time when the image was captured is acquired. An angle of rotation is computed based on the motion sensor data, and the image is transformed based on the angle of rotation. In another aspect, a user interface enables user control over image transformation. The user interface enables user control over rotating an image on a display at two or more granularities. A point of rotation may be user-defined. Rotated images may be scaled to fit within a viewing frame for displaying the transformed image.