Imaging Apparatus Image Rotation Correction via Pre-computed Tables
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Solution Overview
Problem
Existing imaging apparatuses with multiple imaging units suffer from unnecessary image rotation due to the twisted positional relationship of imaging units with respect to the axis of rotation, leading to complications in image correction and increased false detection rates in applications like person recognition and intrusion detection.
Innovation Solution
An imaging apparatus with a movable unit that rotates around a predetermined axis, equipped with a processor or circuit for correction processing, which corrects image rotation based on the relationship between the rotation angle and the acquired image, using a rotation correction table or mathematical calculations to align images upright before detection processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If imaging units are disposed in a twisted positional relationship on a spherical surface to enable rotation around an axis, then the imaging apparatus can capture images from multiple angles, but unnecessary image rotation occurs around the optical axis
Solution Approach 1:
The patent pre-calculates and stores correction values in a correction value table before actual image capture. The correction values correspond to different rotation angles of the movable unit, allowing the system to apply pre-prepared correction data during image processing without complex real-time calculations
Solution Approach 2:
The patent changes the parameter representation by storing correction values as a function of rotation angle. Instead of calculating complex spatial relationships during image processing, the system uses pre-computed correction parameters that directly relate rotation angle to required image correction, simplifying the processing workflow
2Manufacturing precision
If correction processing is performed using conventional tilt correction techniques, then installation tilt can be compensated, but processing becomes complicated due to multiple parameter calculations
Solution Approach 1:
The patent extracts the correction logic into a separate correction value table that can be pre-computed and stored. This separates the complex calculation work from the real-time image processing workflow, allowing the main processing system to simply look up and apply correction values without performing complex calculations
Solution Approach 2:
The correction value table serves as an intermediary between the movable unit's rotation angle and the image correction process. Instead of directly calculating correction parameters from complex spatial relationships, the system uses this intermediate table that maps rotation angles to correction values, simplifying the overall processing
3Area of stationary object
If imaging units are positioned closer to the end of the rotation axis to improve field of view, then image rotation increases, but if positioned farther away, then field of view is limited
Solution Approach 1:
The patent implements a feedback mechanism where the actual rotation angle of the movable unit is detected and used to retrieve the corresponding correction value from the correction value table. This closed-loop approach ensures that the correction applied always matches the actual rotation state, compensating for the increased rotation effect
Data Source
AI summary
In order to provide an imaging apparatus in which unnecessary rotation of an image caused by rotation of a movable unit is able to simply be corrected, the imaging apparatus has the following configuration: an imaging unit configured to acquire an image; a movable unit configured to change a direction of the imaging unit through rotation thereof around a predetermined axis; and at least one processor or circuit configured to function as a correction processing unit at least one processor or circuit configured to function as a correction processing unit configured to perform correction processing of correcting rotation of the image caused by rotation of the movable unit on the basis on the information on a relationship between a rotation angle around the axis and a rotation angle of an image acquired by the imaging unit.