Vehicle Image Region Joining for Side Face Recognition
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Solution Overview
Problem
Existing image processing systems face challenges in accurately defining and recognizing image regions of vehicles, particularly in distinguishing between side and rear faces, especially when vehicles are oriented at angles or have complex shapes like buses, due to difficulties in generating precise distance images from side faces.
Innovation Solution
The image processing apparatus employs a representative-distance calculator to generate representative distance values from stereo images, allowing for the definition and joining of image regions based on these values, and a joining processor to determine and separate or combine image regions containing side and rear faces of vehicles, using processes like dividing and joining operations to accurately define vehicle features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image regions are defined based on distance images from stereo images, then vehicle recognition is improved, but accuracy in distinguishing side and rear faces deteriorates due to imprecise distance image generation
Solution Approach 1:
The patent segments the distance image into multiple pixel column groups and calculates representative distance values for each group. This segmentation allows the system to handle the imprecision in distance images by aggregating data across multiple columns, thereby improving the accuracy of side and rear face distinction while maintaining reliable vehicle recognition.
2Measurement precision
If representative distance values are calculated for each pixel column, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent merges adjacent pixel columns into groups and calculates a single representative distance value for each group rather than processing each column individually. This merging reduces the total number of calculations required, thereby lowering device complexity while still maintaining improved measurement precision through the use of representative values that capture the essential distance information across multiple columns.
3Measurement precision
If image regions are separated based on representative distance values, then side and rear face distinction is improved, but processing time increases
Solution Approach 1:
The patent applies local quality by focusing processing efforts on specific regions where side and rear faces are likely to be distinguished. By calculating representative distance values selectively for pixel columns that contribute to face distinction and using these values to guide region separation, the system achieves accurate face distinction while minimizing unnecessary processing, thereby reducing overall processing time.
Data Source
AI summary
An image processing apparatus includes a representative-distance calculator and a joining processor. The representative-distance calculator generates representative distance values of the basis of a distance image generated from a stereo image including an image of at least one object including a vehicle. The distance image includes distance values of pixels. The joining processor performs a joining process of joining a first image region and a second image region that are defined based on the image of the at least one object and disposed apart from each other in the stereo image. The joining processor performs a determining process of determining whether the first image region and the second image region each include an image of a side face of the vehicle. The joining processor performs the joining process when the first image region and the second image region each include the image of the side face of the vehicle.