Geometric Feature Alignment for Seamless Digital Image Object Removal
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional systems fail to maintain continuity in the background of digital images after removing and replacing objects, particularly when the background includes lines, shapes, or different surface planes with varying perspectives, leading to discontinuous and distorted representations.
Innovation Solution
The system identifies geometric features intersecting the target object and selects a source portion with corresponding geometric properties to replace the object, aligning and transforming it to match the background's perspective, ensuring a seamless integration with the surrounding background.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional systems replace removed objects with replacement portions, then the object removal function is achieved, but the background continuity and geometric alignment are compromised
Solution Approach 1:
The system performs preliminary detection of geometric features (lines, shapes) and surface planes before performing the object removal and replacement. By identifying and storing the geometric properties of the background elements in advance, the system can accurately restore continuity and alignment during the replacement process, preventing discontinuities before they occur.
Solution Approach 2:
The system transforms and adjusts the replacement portion by modifying its geometric parameters (position, orientation, scale, perspective) to match the detected background geometric features. This parameter transformation ensures that the replacement portion seamlessly integrates with the background lines, shapes, and surface planes, maintaining continuity and alignment.
2Productivity
If conventional systems use simple replacement methods, then the processing speed is maintained, but the geometric accuracy and perspective consistency are lost
Solution Approach 1:
The system performs preliminary detection and characterization of geometric features and surface planes before the replacement process. By pre-identifying the geometric properties and storing them for reference, the system can quickly and accurately transform the replacement portion to match the background geometry without slowing down the overall processing speed.
Solution Approach 2:
The system applies parameter transformations to the replacement portion, adjusting its geometric properties to match the detected background features. This transformation process maintains processing efficiency while ensuring high geometric accuracy and perspective consistency through mathematical operations on the image data.
3Device complexity
If conventional systems ignore geometric features, then the processing complexity is reduced, but the visual quality and continuity of the background are compromised
Solution Approach 1:
The system performs preliminary detection of geometric features and surface planes, creating a geometric model of the background. This pre-processing step, while adding some complexity, enables the system to maintain high visual quality and background continuity by using the detected geometric information to guide the replacement process.
Solution Approach 2:
The system transforms the replacement portion by adjusting its geometric parameters to match the detected background features. This parameter transformation, though computationally intensive, ensures high reliability in maintaining visual quality and background continuity by precisely aligning geometric features.
Data Source
AI summary
The present disclosure is directed towards systems and methods for modifying a digital image. For example, systems and methods described herein involve identifying a target portion of a digital image to remove from the digital image. The systems and methods further involve identifying geometric features intersecting or surrounding the identified target portion. The systems and methods further involve analyzing and identifying a source portion having geometric properties that correspond to the identified geometric features intersecting the target portion. Further, the systems and methods involve removing the target portion and replacing the target portion with the source portion by aligning the geometric properties to blend together with the background surrounding the removed target portion. In this way, the output image includes a replacement portion in place of the removed target portion that blends together with the background of the output image.