Optical Navigation Matching Block Size Adaptation
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Solution Overview
Problem
Conventional optical navigation apparatuses face inefficiencies in image comparison due to a fixed matching block size, leading to unsatisfactory navigation effects when image quality is poor, and increased resource consumption when trying to maintain quality with larger block sizes.
Innovation Solution
An optical navigation apparatus and method that dynamically adjusts the matching block size based on an image quality index, using luminance variation or correlation values to determine the appropriate block size for efficient and accurate image comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a smaller predetermined matching block size is used, then image comparison efficiency is improved, but navigation accuracy deteriorates when image quality is poor
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed matching block size to a dynamically adjustable one. The processing unit calculates an image quality index for each captured image and adjusts the matching block size accordingly - using smaller blocks for high-quality images to improve efficiency, and larger blocks for poor-quality images to maintain accuracy. This dynamic adaptation resolves the contradiction between efficiency and accuracy.
Solution Approach 2:
The patent changes the parameter of matching block size based on the calculated image quality index. When the image quality index indicates poor quality (e.g., blurred images), the system enlarges the matching block size to ensure sufficient features for accurate comparison. When quality is good, it reduces the block size to improve processing efficiency. This parameter change strategy directly addresses the contradiction.
2Measurement precision
If a larger predetermined matching block size is used, then navigation accuracy is maintained for poor quality images, but resource consumption increases
Solution Approach 1:
The system dynamically adjusts the matching block size based on real-time image quality assessment rather than using a consistently large block size. This means large blocks are only used when necessary (poor image quality), while small blocks are used when possible (good image quality), thereby maintaining accuracy only when needed and reducing resource consumption during normal operation.
Solution Approach 2:
The matching block size parameter is changed adaptively based on the image quality index. The processing unit calculates the quality index and selectively increases the block size parameter only when the index indicates poor quality, otherwise maintaining a smaller default size. This selective parameter change ensures accuracy is maintained only when necessary while minimizing resource consumption during normal conditions.
3Device complexity
If a fixed predetermined matching block size is used, then device complexity is reduced, but adaptability to varying image quality deteriorates
Solution Approach 1:
The system performs self-service by automatically assessing image quality and adjusting the matching block size without external intervention. The processing unit calculates the image quality index from the captured images themselves and autonomously determines the appropriate block size, enabling the system to adapt to varying image quality conditions while maintaining relatively simple architecture.
Solution Approach 2:
The system implements feedback by calculating an image quality index from captured images and using this feedback to adjust the matching block size. The quality index serves as feedback information that guides the adaptive adjustment of the block size parameter, enabling the system to respond to varying image quality conditions while maintaining operational simplicity through automated closed-loop control.
Data Source
AI summary
An optical navigation apparatus, an optical navigation method, and a non-transitory computer readable medium thereof are provided. The optical navigation apparatus includes a light source unit, an image sensing unit, and a processing unit. The processing unit is electrically connected to the light source unit and the image sensing unit. The light source unit provides a beam of light. The image sensing unit captures a first image at a first time instant when the light is projected onto a reflection surface. The processing unit calculates an image quality index of the first image and determines a matching block size between the first image and a second image according to the image quality index.