Camera Fitting Error Correction Using Linear Expressions and Rotation Maps
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Solution Overview
Problem
Existing camera systems require extensive re-computation and large memory capacity to correct fitting errors, as they need to prepare numerous maps for various sets of camera fitting errors, making the process time-consuming and memory-intensive.
Innovation Solution
The system detects displacement quantities in the X-direction, Y-direction, and optical axis rotating direction, selects a rotation correction map, and uses simple linear expressions to compute correction quantities, reducing the need for re-computing maps and minimizing the number of maps required for image transforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple maps are prepared in advance for correcting various sets of camera fitting errors, then the correction precision is improved, but the memory capacity requirement increases enormously
Solution Approach 1:
The patent segments the correction process into two distinct parts: (1) a lookup table for optical axis rotation correction that requires only 3 maps, and (2) linear expression calculations for X and Y direction corrections. This segmentation allows the system to achieve comprehensive correction precision without storing all possible correction maps, thereby reducing memory requirements from thousands of maps to just 3 maps plus calculation formulas.
Solution Approach 2:
The patent changes the parameter representation method by using linear expressions (mathematical formulas) to represent the correction relationships for X and Y directions instead of storing them as discrete map data. This parameter change enables the system to compute corrections on-demand with minimal memory storage, transforming the problem from one of data storage to one of computational efficiency.
2Measurement precision
If maps are re-computed after camera fitting position is determined, then the correction accuracy is improved, but the correction process becomes time consuming
Solution Approach 1:
The patent performs preliminary preparation by creating only 3 rotation correction maps covering the full range of optical axis rotation angles before camera fitting. This preliminary action eliminates the need for time-consuming re-computation after fitting, as the system can directly lookup rotation corrections and calculate linear corrections using pre-defined linear expressions, significantly reducing the correction process time while maintaining accuracy.
3Measurement precision
If the number of correction steps is increased to achieve high precision, then the correction quality is improved, but the number of required maps increases exponentially
Solution Approach 1:
The patent segments the correction process into two distinct parts: (1) a lookup table for optical axis rotation correction that requires only 3 maps, and (2) linear expression calculations for X and Y direction corrections. This segmentation allows the system to achieve comprehensive correction precision without storing all possible correction maps, thereby reducing memory requirements from thousands of maps to just 3 maps plus calculation formulas.
Solution Approach 2:
The patent replaces the mechanical approach of storing comprehensive correction maps with a computational approach using linear expressions. Instead of mechanically storing every possible correction scenario, the system uses mathematical formulas to compute corrections dynamically, substituting storage-intensive mechanical methods with computation-efficient mathematical methods.
Data Source
AI summary
A camera system includes a detection unit that detects fitting errors of a camera as displacement quantities in a first direction, a second direction and an optical axis rotating direction of an image picked up by the camera, a selection unit that selects a rotation correcting quantity corresponding to the displacement quantity in the optical axis rotating direction from plural rotation correction maps prepared in advance, a computation unit that computes the correcting quantities in the first direction and the second direction respectively based on the detected displacement quantities in the first direction and the second direction using linear equations; and a correction unit that corrects the displacements in the first direction, the second direction and the optical axis rotating direction of the picked up image based on the selected rotation correcting quantity and the computed correcting quantities in the first direction and the second direction.