Stereo Image Measurement Using Change Regions and Height Data
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Solution Overview
Problem
Stereo cameras produce distance images with significant noise, making it difficult to accurately detect regions of target objects at a predetermined height.
Innovation Solution
A measuring method and system that determines a target-object-encompassing region by analyzing changes between first and second image information, using height information to calculate a two-dimensional size of the target object within this region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a stereo camera is used to produce a distance image for measuring a target object, then distance measurement capability is provided, but the distance image contains a large amount of noise making it difficult to detect regions at a predetermined height
Solution Approach 1:
The patent combines multiple image sources (first image information and second image information from the stereo camera) to create a more reliable target-object-encompassing region. By merging the strengths of different imaging approaches and combining image data with height information, the system overcomes the noise limitations of stereo camera distance images while maintaining measurement capability.
Solution Approach 2:
The patent introduces an intermediary processing step that creates a target-object-encompassing region based on changes between first and second image information. This intermediary region serves as a bridge between the noisy distance image and the final measurement, filtering out noise while preserving target object information at the predetermined height.
2Loss of information
If stereo camera distance images are used directly for object detection, then distance information is obtained, but accurate detection of target object regions at predetermined height is difficult due to noise
Solution Approach 1:
The patent performs preliminary processing by determining the target-object-encompassing region based on changes between first and second image information before final measurement. This preliminary action filters out noise and identifies the relevant region containing the target object at the predetermined height, making subsequent detection more accurate.
Solution Approach 2:
The patent applies local quality by focusing analysis on the specific target-object-encompassing region rather than processing the entire distance image. By concentrating computational resources on the region where the target object is located at the predetermined height, the system achieves more accurate detection while ignoring noisy areas.
3Measurement precision
If traditional stereo camera methods are used, then distance measurement is possible, but the measurement reliability deteriorates due to noise in the distance image
Solution Approach 1:
The patent creates a multi-functional measurement system that can operate with both stereo camera distance images and alternative image information. The system universally handles different data sources and combines them to produce reliable measurements, making the measurement process more robust against noise in any single data source.
Data Source
AI summary
A target-object-encompassing region representing a region causing any change between first image information and second image information is determined based on the first image information precluding a target object in an imageable area and the second image information including the target object in the imageable area. A two-dimensional size of the target object included in the target-object-encompassing region is determined based on the target-object-encompassing region and the height information.