Object Distribution Feedback for Camera Capture Quality
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Solution Overview
Problem
Existing image processing techniques struggle with capturing images of insufficient quality for effective object detection, particularly in crowded environments, leading to inefficiencies in processes like person detection and matching.
Innovation Solution
An image processing method that detects the position and generates a distribution of specific objects within an image, using this information to adjust camera settings for capturing new images of improved quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If face detection is performed on the entire input image region, then detection coverage is improved, but detection accuracy deteriorates when image quality is insufficient
Solution Approach 1:
The patent divides the input image into multiple regions of interest (ROIs) based on detected object positions and distributions. Instead of processing the entire image uniformly, the system segments the image into relevant areas where objects are likely to be found, processing each ROI separately to balance coverage with accuracy.
Solution Approach 2:
The patent performs preliminary object detection and distribution analysis on the input image to identify regions of interest before conducting detailed face detection. This preliminary action filters out low-quality regions and focuses detection resources on areas with sufficient image quality and object presence.
2Productivity
If image capture settings are not optimized based on object distribution, then capture speed is maintained, but image quality for detection purposes deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where object detection results and distribution patterns are used to adjust camera capture settings. The system continuously monitors detected object positions and distributions, then feeds this information back to modify capture parameters such as focus distance, aperture, and exposure to optimize image quality for subsequent detection processes.
Solution Approach 2:
The patent makes camera capture settings dynamic and adaptive rather than static. Capture parameters are adjusted in real-time based on detected object distributions, allowing the system to optimize image quality for different scenes and object configurations while maintaining efficient capture speeds.
3Adaptability or versatility
If the entire input image is processed for object detection, then comprehensive detection is achieved, but processing efficiency deteriorates when image quality is poor
Solution Approach 1:
The patent applies different processing qualities to different regions of the image based on local characteristics. Regions with sufficient image quality and detected objects receive detailed processing, while regions with poor quality or no objects receive reduced processing, optimizing overall processing efficiency while maintaining comprehensive detection capability.
Data Source
AI summary
An image processing apparatus according to the present invention includes: a position detecting unit configured to detect the position of a specific object in an image; a distribution generating unit configured to generate the distribution in the image of the specific object; and an imaging information generating unit configured to generate information used at the time capturing a new image based on the distribution.