Motion-Based Image Stabilization and Navigation
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Solution Overview
Problem
Existing mobile devices lack effective motion-based content navigation, where images captured with motion sensor data are not integrated for stabilization and navigation, leading to disjointed viewing experiences.
Innovation Solution
A system that stabilizes sequential images based on background stability, aligns and warps images using motion sensor data, and allows navigation through images based on device orientation, with features for face detection and chronological ordering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If images are captured during device motion, then more dynamic content can be captured, but the images become unstable and misaligned
Solution Approach 1:
The patent uses motion sensor data as an intermediary to bridge the gap between captured images and their actual spatial relationships. The motion sensor data serves as a mediator that provides information about device movement, which is then used to stabilize and align the images computationally, resolving the contradiction between capturing dynamic content and maintaining image stability
Solution Approach 2:
The patent changes the parameters of the images by applying stabilization transformations based on motion sensor data. The images are transformed in space (position, orientation) according to the device's motion parameters, converting unstable, misaligned images into stable, aligned sequences while preserving the dynamic content
2Ease of operation
If traditional image viewing is used, then simple display is achieved, but navigation through image sequences is disjointed
Solution Approach 1:
The patent makes the image navigation dynamic by linking it to device motion. Instead of static page-by-page flipping, the system dynamically transitions between images based on the device's orientation and motion, creating a seamless, continuous navigation experience that maintains simplicity while dramatically improving navigation efficiency
Solution Approach 2:
The system uses feedback from motion sensors to control image navigation. The device's motion and orientation are continuously monitored, and this feedback is used to automatically determine which image to display next, creating an intuitive navigation system that responds to user gestures without requiring complex manual controls
Data Source
AI summary
A set of sequential images are accessed. Measures of background stability across a set of images are determined, and the set of images is stabilized based on the determined measures. The images are cropped and stored in sequential order. A first image from the set of cropped images is displayed, and data indicating a change in orientation is received. Responsive to a determination that the change in orientation is associated with forward progress, an image after the first image in the set of sequential images is displayed. Responsive to a determination that the change in orientation is associated with backward progress, an image before the first image in the set of sequential images is displayed. The set of images can include a selected face of an individual and can be ordered chronologically, allowing a user to view older and younger images of the individual when navigating the set of images.