Gaze-Guided Image Modification for Unwanted Subject Removal
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Solution Overview
Problem
Existing image processing techniques struggle to efficiently remove unwanted subjects from images, particularly when motion-based analysis leads to unnecessary storage usage and difficulty in identifying and removing such subjects.
Innovation Solution
Systems and techniques that utilize gaze and depth information to determine subjects-of-interest and unwanted subjects, allowing for their removal based on gaze direction and relative distance from the camera, with background pixels being used to replace the unwanted subjects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion-based analysis is used to remove unwanted subjects from images, then subject identification can be performed, but storage usage increases and subject identification accuracy decreases
Solution Approach 1:
The patent changes the parameters for subject identification from motion-based analysis to gaze-based analysis. By using gaze direction and depth information instead of motion tracking, the system achieves more accurate subject identification without requiring extensive storage of motion data sequences.
Solution Approach 2:
The patent extracts only the necessary information (gaze direction and depth) from the image data to identify subjects, rather than storing and processing complete motion sequences. This extraction approach reduces storage requirements while maintaining identification accuracy.
2Measurement precision
If gaze and depth information is used to determine subjects-of-interest, then unwanted subjects can be removed more accurately, but processing complexity increases
Solution Approach 1:
The patent segments the image processing task into distinct modules: gaze detection module, depth detection module, subject identification module, and image generation module. This segmentation allows each module to process specific information independently, making the overall complex system more manageable and efficient.
Solution Approach 2:
The patent introduces gaze direction and depth information as intermediary parameters that mediate between the raw image data and the final subject identification. These intermediary features simplify the processing by providing direct cues about subject interest without requiring complex motion analysis.
3Measurement precision
If multiple images are processed to remove unwanted subjects, then subject removal accuracy improves, but processing time increases
Solution Approach 1:
The patent performs preliminary analysis of gaze direction and depth information from the first image before generating the final processed image. This preliminary action identifies unwanted subjects in advance, allowing for more efficient processing when generating the final image with unwanted subjects removed.
Solution Approach 2:
The patent uses the first image as a reference copy to analyze gaze and depth information, then applies this analysis to process the second image. By copying and reusing the gaze and depth data from the first image, the system avoids redundant processing while maintaining high subject removal accuracy.
Data Source
AI summary
Systems and techniques are described herein for generating an image. For instance, a method for generating an image is provided. The method may include obtaining a first image including a first subject and a second subject; obtaining a second image including the first subject and the second subject; determining a gaze of the first subject in the first image; and maintaining the first subject in the second image based on the gaze of the first subject and removing the second subject from the second image.