Image Depth Refreshing via Block Weighted Frequency
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Solution Overview
Problem
Conventional dual-camera interactive systems require high computation volumes for depth image creation, limiting real-time computation and resolution, which restricts the recognition of delicate user interactions due to high resolution requirements.
Innovation Solution
The method involves dividing images into blocks, calculating depth reference values, determining weights, and setting different refreshing frequencies for each block based on these weights to prioritize real-time updates in foreground regions while reducing computation in background regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dual-camera system is used to calculate depth image, then recognition rate is improved, but computation volume increases
Solution Approach 1:
The patent divides the image into multiple blocks and processes each block independently with different refreshing frequencies. This segmentation allows the system to reduce computation volume for background regions while maintaining depth image quality for foreground regions, thus resolving the contradiction between recognition rate and computation volume.
Solution Approach 2:
The patent applies different refreshing frequencies to different image blocks based on their importance. Foreground blocks receive higher refreshing frequency while background blocks receive lower frequency. This local quality approach maintains recognition accuracy for critical regions while reducing overall computation volume.
2Measurement precision
If resolution is increased, then recognition precision is improved, but real-time computation capability deteriorates
Solution Approach 1:
By segmenting the image into blocks and applying different refreshing frequencies, the system can maintain high resolution for foreground regions where recognition precision is critical, while reducing computation for background regions. This enables real-time computation at high resolution requirements.
Solution Approach 2:
The patent applies partial refreshing action to different image blocks based on their importance. Instead of refreshing the entire image at full resolution, the system applies higher refreshing frequency only to necessary foreground regions, achieving real-time computation capability while maintaining recognition precision.
3Device complexity
If uniform refreshing frequency is used for all image blocks, then processing simplicity is maintained, but computation efficiency decreases
Solution Approach 1:
The patent introduces local quality differentiation by assigning different refreshing frequencies to different image blocks based on their depth information and importance. This increases computation efficiency for critical regions while the overall processing remains relatively simple through automated weight calculation.
Solution Approach 2:
The patent makes the refreshing frequency dynamic rather than static. The system automatically adjusts the refreshing frequency for each image block based on calculated weights from depth information, optimizing computation efficiency while maintaining manageable processing complexity through algorithmic automation.
Data Source
AI summary
An image depth information refreshing method applied to an image depth information refreshing device is disclosed. The image depth information refreshing device includes a storage unit and an arithmetic logic unit. The storage unit stores a previous depth diagram corresponding to a previous image. The image depth information refreshing method includes the following steps. The arithmetic logic unit divides a current image captured by an image capturing unit into multiple image blocks. The arithmetic logic unit calculates a depth reference value of each image block according to the previous depth diagram, and determines a weight of each image block according to the depth reference values. The arithmetic logic unit determines a refreshing frequency of each image block according to the weights. The arithmetic logic unit respectively refreshes the image block according to the refreshing frequencies of the image blocks, and generates a current depth diagram corresponding to the current image.