Brightness Control Using Feature Point Selection
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Solution Overview
Problem
Existing face authentication systems face increased processing time due to the use of all pixels in the face area for brightness control, especially when the face size is large.
Innovation Solution
A control apparatus that acquires images, detects a detection target, calculates brightness using a subset of pixels specified under predetermined conditions, determines control parameters for a photographing apparatus, and adjusts the apparatus for optimal image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If brightness control is performed using all pixels in the detection target area, then measurement precision is improved, but processing time increases
Solution Approach 1:
The detection target area is segmented into multiple regions, and feature points are selected from these regions. Instead of processing all pixels uniformly, the system divides the area and selects representative feature points (such as eyes, nose, mouth for face detection), thereby reducing the number of pixels to be processed while maintaining brightness measurement accuracy.
Solution Approach 2:
Different regions of the detection target are treated differently by selecting specific feature points based on their local characteristics. The system identifies and processes only the most informative local regions (feature points) rather than treating all pixels equally, which reduces processing time while preserving the essential brightness information needed for control parameter determination.
2Measurement precision
If the detection target area is large, then detection accuracy is improved, but processing time increases
Solution Approach 1:
The system extracts only the essential feature points from the large detection target area. By taking out the most informative pixels (feature points) and excluding redundant pixels, the system maintains detection accuracy while significantly reducing the processing load and time required for brightness calculation and control parameter determination.
3Measurement precision
If all pixels are used for brightness calculation, then control parameter accuracy is improved, but productivity decreases
Solution Approach 1:
The system performs partial action by calculating brightness using only a subset of pixels (feature points) rather than all pixels. This partial processing approach is sufficient to achieve accurate control parameter determination while dramatically improving processing speed and productivity, as the feature points contain the essential brightness information needed for effective control.
Data Source
AI summary
A control apparatus capable of reducing the processing time is provided. An image acquisition unit acquires an image obtained by photographing a surrounding environment. A detection unit performs a process for detecting a detection target from the acquired image. A calculation unit calculates brightness by using some of pixels in an area of the detection target detected from the image, specified under a predetermined condition. A determination unit determines a control parameter used in a photographing apparatus based on the calculated brightness. A control unit controls the photographing apparatus so as to perform photographing by using the determined control parameter.