Feature Point Matching for Dynamic Image Superimposition
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Solution Overview
Problem
Existing image processing technologies do not effectively allow users to reflect user inputs on images other than the original image used for input, limiting the ability to create dynamic and interactive visual experiences.
Innovation Solution
An image processing program that functions as first image acquisition, feature point extraction, image superimposition, and display control means, enabling the superimposition of images based on feature points between different images, allowing user inputs to be reflected on various images, including moving images and real-time captured content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If image processing is performed such that the user directly puts makeup on a still image captured by the device, then the user can enjoy viewing the made-up still image, but the image that can be enjoyed by the user is only the made-up still image which is temporary
Solution Approach 1:
The patent enables user inputs made on one image to be applied to multiple different images including moving images, still images, and images from different time points. This multi-functionality allows the same user input to enhance various types of images, transforming a single-purpose system into a versatile one that can create dynamic visual effects across different image formats and time periods.
Solution Approach 2:
The patent transitions from static image processing to dynamic image processing by allowing user inputs to be applied to moving images and different time-point images. This enables the system to handle time-varying images and create dynamic visual effects, where the superimposed image can be applied to sequences of frames rather than just a single static image.
2Device complexity
If user inputs are applied only to the original image used for input, then the processing is simple, but the ability to create dynamic and interactive visual experiences is limited
Solution Approach 1:
The patent introduces feature point matching as an intermediary mechanism that bridges the original image and target images. By extracting and matching feature points between images, the system can accurately transfer user inputs to different images while maintaining proper spatial alignment. This intermediary process enables complex visual experiences without requiring direct complex processing between all image pairs.
Solution Approach 2:
The patent segments the image processing task into distinct components: feature point extraction, coordinate transformation, and image superimposition. This segmentation allows the system to handle the complexity of applying user inputs to multiple images by breaking down the process into manageable steps, where each component can be optimized independently.
3Adaptability or versatility
If the system supports superimposition on multiple different images including moving images, then the visual experience is enhanced, but the processing complexity increases
Solution Approach 1:
The patent creates a universal image processing framework that can handle multiple image types (moving images, still images, images from different time points) through a common feature point matching mechanism. This universal approach allows the same processing logic to be applied across different image formats, reducing the need for separate processing pipelines for each image type.
Solution Approach 2:
The patent performs preliminary feature point extraction and coordinate system establishment before the actual superimposition operation. By pre-processing the images to extract feature points and establish coordinate transformations, the system simplifies the subsequent superimposition process. This preliminary action ensures that when user inputs need to be applied to different images, the complex coordinate transformations have already been prepared.
Data Source
AI summary
Data of a coordinate input provided on a second image displayed on a display device is acquired, and input position data representing the coordinate input provided on the second image is generated. At least a first feature point is extracted from a first image, the first feature point being a feature point having a first feature on the first image; a predetermined superimposition image is superimposed on the first image, at a position on the first image based on the first feature point, the position corresponding to a position, represented by the input position data, on the second image based on a second feature point, the second feature point being a feature point having the first feature on the second image; and the first image on which the superimposition has been made is displayed on the display device.