Pattern Matching Camera Rangefinding Integration
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Solution Overview
Problem
The accuracy of subject position determination in pattern matching methods is low due to reliance solely on image similarity calculations, without considering rangefinding results.
Innovation Solution
A camera system that incorporates an imaging unit, similarity level calculation unit, subject position determining unit, subject tracking unit, and rangefinding unit, where the similarity level calculation unit factors in rangefinding results, prioritizing values closest to the subject distance for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pattern matching processing is executed solely based on image similarity calculations, then the processing is simple and fast, but the subject position determination accuracy is low
Solution Approach 1:
The patent combines pattern matching processing with rangefinding results by integrating distance information into the similarity calculation. The similarity level calculation unit factors in rangefinding results to determine subject position, merging image similarity assessment with distance measurement to achieve higher accuracy without requiring entirely new processing methods.
Solution Approach 2:
The patent introduces rangefinding results as an intermediary factor that mediates between the image similarity calculation and the final subject position determination. This intermediary element (distance information) refines the matching process by providing additional contextual data that improves accuracy while maintaining the overall processing framework.
2Measurement precision
If rangefinding results are factored into similarity level calculation, then subject position determination accuracy is improved, but calculation complexity increases
Solution Approach 1:
The patent changes the parameters of the similarity calculation by incorporating rangefinding results as additional factors. The similarity level calculation unit adjusts its calculation parameters to include distance information, transforming the calculation from using only image similarity to using both image similarity and distance data, thereby improving accuracy while managing computational requirements.
3Measurement precision
If multiple factors including rangefinding results are considered in similarity calculation, then subject position determination accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent makes the similarity level calculation unit multi-functional by enabling it to process both image similarity data and rangefinding results. This single unit performs multiple functions: it calculates image similarity, incorporates distance information, and determines subject position, thereby improving accuracy without requiring separate dedicated systems for each function.
Data Source
AI summary
A camera includes: an imaging unit that captures an image of a subject and obtains image data; a similarity level calculation unit that calculates a similarity level indicating a level of similarity of an image within a search frame to a template image in correspondence to each search frame position assumed as the search frame is shifted within a search target area set in each of frames input in time series from the imaging unit; a subject position determining unit that determines as a subject position a position assumed by the search frame, at which the similarity level is highest, in correspondence to each frame; a subject tracking unit that tracks the subject position from frame to frame; and a rangefinding unit that measures a distance (subject distance) from the camera to the subject, wherein: the similarity level calculation unit calculates the similarity level by factoring in rangefinding results.