Spherical Panorama Orientation Correction via Line Segment Analysis
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Solution Overview
Problem
Conventional digital image processing systems struggle to accurately correct distortions in spherical panorama images caused by camera tilt and roll, often requiring precise attitude measurement data which may be missing or unreliable.
Innovation Solution
The system automatically corrects skew in spherical panorama images by analyzing line segments to identify a corrected orientation in three-dimensional space, generating three-dimensional projections, and modifying pixels to align the image axes, eliminating the need for attitude data and reducing processing power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional digital image processing systems use gyroscope to measure camera attitude, then orientation correction can be achieved, but device complexity increases and reliability decreases when attitude data is missing or unreliable
Solution Approach 1:
The patent extracts the orientation correction function from the camera hardware (gyroscope) and relocates it to the image processing software. By analyzing line segments and great circles directly from the captured panorama image, the system separates the correction mechanism from the capture device, eliminating the need for additional sensors while maintaining correction capability.
Solution Approach 2:
The system makes the panorama image self-correcting by using features within the image itself (line segments, great circles) to determine and apply the necessary orientation correction. The image contains its own correction data through geometric features, eliminating dependency on external attitude measurement devices.
2Manufacturing precision
If gyroscope is used to track camera attitude, then distortion correction is possible, but loss of information occurs when attitude data becomes separated from the image
Solution Approach 1:
Instead of relying on separate attitude data that can be lost, the system creates a geometric copy of the orientation information directly from visible line segments in the image. The great circle analysis reconstructs the camera's orientation state from the image content itself, ensuring the correction data is always present with the image.
3Manufacturing precision
If conventional systems correct skew using measured attitude data, then orientation alignment is achieved, but processing time increases and productivity decreases
Solution Approach 1:
The system applies partial action by focusing computational effort only on detecting line segments and calculating great circles, rather than processing the entire image data set. This selective approach to orientation correction reduces computational load while maintaining alignment accuracy.
Data Source
AI summary
The present disclosure includes methods and systems for correcting distortions in spherical panorama digital images. In particular, one or more embodiments of the disclosed systems and methods correct for tilt and/or roll in a digital camera utilized to capture a spherical panorama digital images by determining a corrected orientation and generating an enhanced spherical panorama digital image based on the corrected orientation. In particular, in one or more embodiments, the disclosed systems and methods identify line segments in a spherical panorama digital image, map the line segments to a three-dimensional space, generate great circles based on the identified line segments, and determine a corrected orientation based on the generated great circles.