Content-unaware panoramic image warping mesh grid
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Solution Overview
Problem
Conventional systems for generating panoramic images often result in irregular shapes due to user error and projection onto spherical or cylindrical surfaces, leading to issues like cropping, distortion, and computational inefficiency when attempting to correct these irregularities through content-aware warping.
Innovation Solution
A content-unaware image warping system that generates a mesh grid with evenly distributed cells across the panoramic image, warping the image to fit a predetermined shape while minimizing distortion by distributing warping evenly across all cells, thus avoiding the need for content analysis and reducing computational complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If content-aware warping techniques are used to avoid distortion, then image quality is improved, but computational complexity and processing time increase significantly
Solution Approach 1:
The patent extracts and removes the computationally expensive content analysis step from the warping process. Instead of analyzing image content to determine warping parameters, the system uses a fixed geometric model based on the panoramic image's boundary characteristics, eliminating the need for complex content-aware processing while maintaining acceptable warping results.
Solution Approach 2:
The patent segments the warping process into distinct geometric transformation steps based on boundary point correspondence. By dividing the panoramic image into manageable regions and applying localized geometric transformations, the system reduces computational complexity compared to global content-aware warping while preserving important structural features.
2Shape
If conventional warping is applied to correct irregular shapes, then shape uniformity is improved, but noticeable distortion and content disruption occur
Solution Approach 1:
The patent applies different warping strategies to different regions of the panoramic image based on their geometric characteristics. Boundary regions undergo geometric transformation to achieve uniform shape, while interior regions are transformed accordingly to maintain content integrity. This localized approach ensures shape uniformity without causing noticeable distortion throughout the entire image.
Solution Approach 2:
The patent performs preliminary identification of boundary points and establishment of correspondence relationships before applying warping transformations. By pre-processing the geometric structure and determining the transformation model in advance, the system can apply uniform shape correction while minimizing content disruption during the actual warping execution.
3Shape
If cropping is used to conform to predefined shapes, then shape conformity is improved, but important image features are lost
Solution Approach 1:
Instead of cropping the panoramic image to fit a predefined shape (removing content), the patent inverts the approach by warping the image to conform to the desired shape while preserving all original content. The geometric transformation expands or contracts regions as needed, ensuring shape conformity without discarding any image features.
4Shape
If adding content is used to conform to shapes, then shape conformity is improved, but blending issues and image quality deterioration occur
Solution Approach 1:
Instead of adding synthetic content to achieve shape conformity (which causes blending problems), the patent uses geometric warping to transform the existing image content into the desired shape. This inversion of the approach maintains the original image quality without introducing artificial content that fails to blend naturally.
Data Source
AI summary
The present disclosure is directed toward systems and method for warping a panoramic image to fit a predetermined shape using content-unaware warping techniques. For example, systems and methods described herein involve generating a mesh grid for a panoramic image with skewed edges by sampling boundary points around edges of the panoramic image and interpolated interior vertex points from the boundary points. Further, systems and methods described herein involve warping the mesh grid and underlying pixels of the panoramic image to fit a predetermined boundary. Further, systems and methods described herein involve generating the mesh grid and warping the panoramic image without consideration of content included therein and without overly-warping individual cells of the mesh grid and underlying pixels of the panoramic image.