Imaging Environment Control for Multi-Object Feature Extraction
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Solution Overview
Problem
Existing image analysis systems struggle to precisely extract features of multiple objects from a single captured image, as the image capture environment settings are typically optimized for one object, making it difficult to adequately capture features of other objects in the same image.
Innovation Solution
An information processing apparatus that detects objects in a captured image and adjusts the image capture environment settings, such as illumination and background, individually for each object by determining relevant partial ranges and output settings based on the object's feature values, allowing for precise feature extraction of multiple objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the image capture environment is set according to a feature of any one object, then the feature of that object can be precisely extracted, but the feature of another object may not sufficiently appear in the captured image
Solution Approach 1:
The patent divides the image capture environment into multiple partial ranges corresponding to different objects. Each partial range can have independent illumination and background settings, allowing precise feature extraction for each object without compromising others. This segmentation resolves the contradiction by enabling object-specific optimization while maintaining overall system capability.
Solution Approach 2:
The patent applies different image capture environment settings to different spatial locations (partial ranges) within the captured image. Each partial range has customized illumination intensity and background color based on the specific object it contains, allowing each object to be optimally captured while other objects in the image are not adversely affected.
2Illumination intensity
If strong illumination is applied to a white object with surface unevenness, then the object is well-lit, but the surface exhibits blown-out highlight and the unevenness does not appear
Solution Approach 1:
The patent dynamically adjusts illumination intensity parameters based on the detected object characteristics. For white objects with surface unevenness, the system reduces illumination intensity to prevent blown-out highlights while maintaining sufficient lighting for feature extraction. This parameter optimization resolves the contradiction between adequate illumination and surface detail preservation.
3Measurement precision
If the image capture environment is optimized for one object, then that object's features are clearly visible, but other objects in the same image suffer from suboptimal lighting or background
Solution Approach 1:
The patent segments the image into multiple partial ranges and applies independent environment settings to each segment. This allows simultaneous optimization for multiple objects within a single captured image, improving multi-object processing efficiency without sacrificing individual object feature extraction precision.
Solution Approach 2:
The patent dynamically adjusts image capture environment settings based on real-time object detection results. When multiple objects are detected, the system automatically configures different illumination and background parameters for each object's partial range, enabling efficient multi-object processing with optimized conditions for all objects.
Data Source
AI summary
An information processing apparatus (2000) detects an object (30) from a captured image (20) generated by an image capture apparatus (10). The information processing apparatus (2000) determines, based on a range occupied by an image area representing the object (30) in the captured image (20), a partial range relevant to the object (30), within an output range of an output apparatus that performs an output having influence on an image capture environment. The information processing apparatus (2000) determines, based on a feature value of the image area representing the detected object (30), an output setting of the output apparatus for the partial range. The information processing apparatus (2000) applies, to the output apparatus, the output setting for the partial range determined for the object (30).