Recursive Image Processing for Fast-Moving Eye Tracking
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Solution Overview
Problem
Existing image processing methods for tracking fast-moving body parts, such as the eye, are inaccurate and computationally intensive due to the need for individual processing of images, which slows down execution and reduces reliability.
Innovation Solution
A computer-implemented image processing method that determines image processing functions recursively over a sequence of images, avoiding individual image processing by using estimates and vector fields to efficiently track and segment images, particularly suited for eye-tracking applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual image processing is performed for each image in the sequence, then measurement precision of tracking results is improved, but productivity is worsened due to considerably slowed down execution
Solution Approach 1:
The patent applies preliminary action by determining processing functions for a subset of images (first, second, and third images) before processing the fourth image. These pre-determined functions serve as estimates that guide the subsequent processing, allowing the system to leverage prior computations to accelerate current operations while maintaining accuracy through recursive refinement of the processing functions.
2Measurement precision
If complex image processing methods are used for tracking fast-moving body parts, then measurement precision is improved, but device complexity is worsened
Solution Approach 1:
The patent segments the image sequence into distinct groups (first image, second image, third image, fourth image) and determines processing functions for each segment separately. This segmentation allows the complex processing to be broken down into manageable stages, where each processing function handles a specific portion of the sequence, thereby reducing the apparent complexity of the overall system while maintaining high tracking precision.
3Productivity
If recursive determination of processing functions is implemented, then productivity is improved by avoiding individual processing, but reliability is worsened due to dependency on estimate sequences
Solution Approach 1:
The patent implements feedback by using the determined processing functions from earlier images (first, second, and third images) as input estimates for determining the processing function of the fourth image. This feedback mechanism allows the system to recursively refine its processing functions, where each determination builds upon and validates the previous ones, thereby maintaining reliability while achieving improved productivity through the recursive approach.
Data Source
AI summary
The disclosure relates to a method for processing images. The method comprises a recursive and preferably algorithmic determination of image processing functions for a sequence of images on the basis of a sequence of estimates of at least some of these functions.