Autofocus Curve Fitting Reduces Computation Time
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Solution Overview
Problem
Current digital camera autofocus systems are inefficient, taking longer to determine the optimal lens position and often using redundant positions, leading to wasted computation time and power resources, resulting in suboptimal image capture.
Innovation Solution
A method and system that determine an initial lens position dataset, calculate scores, and use interpolation and extrapolation with polynomial curve fitting analysis to estimate the optimal focus position, reducing the number of required lens positions and improving focus accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional autofocus methods are used to determine optimal lens position, then focus accuracy is achieved, but computation time and power consumption increase significantly
Solution Approach 1:
The system performs preliminary action by using the image sensor to capture preliminary focus information during normal image capture, which is then used to determine the optimal lens position without requiring additional time-consuming external sensor measurements or exhaustive lens position testing
Solution Approach 2:
The patent applies copying by using the image sensor (which captures the final image) to also perform focus measurement functions, effectively copying the focus detection capability from dedicated external sensors to the existing image sensor, thereby eliminating redundant measurement processes
2Measurement precision
If traditional autofocus methods are used to determine optimal lens position, then focus accuracy is achieved, but power consumption increases due to redundant lens positions
Solution Approach 1:
The system performs preliminary action by using the image sensor to capture preliminary focus information during normal image capture, which is then used to determine the optimal lens position without requiring additional time-consuming external sensor measurements or exhaustive lens position testing
Solution Approach 2:
The patent applies copying by using the image sensor (which captures the final image) to also perform focus measurement functions, effectively copying the focus detection capability from dedicated external sensors to the existing image sensor, thereby eliminating redundant measurement processes
3Measurement precision
If more lens positions are tested to ensure accurate focus, then focus accuracy improves, but computation time and power resources are wasted
Solution Approach 1:
The system performs preliminary action by using the image sensor to capture preliminary focus information during normal image capture, which is then used to determine the optimal lens position without requiring additional time-consuming external sensor measurements or exhaustive lens position testing
Solution Approach 2:
The patent applies copying by using the image sensor (which captures the final image) to also perform focus measurement functions, effectively copying the focus detection capability from dedicated external sensors to the existing image sensor, thereby eliminating redundant measurement processes
Data Source
AI summary
An efficient method and system for estimating an optimal focus position for capturing an image are presented. Embodiments of the present invention initially determine an initial lens position dataset. Then, scores are calculated for each value of the initial lens position dataset producing a plurality of scores. Embodiments of the present invention then determine an optimum focus position through interpolation and extrapolation by relating the initial lens position dataset to the score dataset, in which the score dataset comprises of the plurality of scores.


