Face Detection Apparatus Dynamic Condition Adjustment
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Solution Overview
Problem
Existing face-detection methods are inefficient and prone to incorrect detections when handling faces of different sizes and orientations in images, as they require repetitive adjustments in detection angle, size, and position, leading to prolonged processing times and increased errors.
Innovation Solution
An image processing apparatus that sets the size of the face to be detected and adjusts detection conditions accordingly, using a detector conversion method to fit the face size, thereby applying optimized detection conditions for accurate and fast face detection across various sizes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detection processings are repeated with adjustments in detector angle, size, and position to cover all combinations, then face detection accuracy is improved, but processing time increases significantly
Solution Approach 1:
The patent changes the parameter of detection conditions based on face size categories. Small faces use stricter detection conditions while large faces use more relaxed conditions, eliminating the need to test all possible combinations of angle, size, and position parameters. This reduces processing time while maintaining accuracy by applying the appropriate detection stringency for each face size category.
Solution Approach 2:
The patent applies different detection condition strictness levels to different face size regions. Small faces in the image receive stricter detection conditions while large faces receive more relaxed conditions, allowing optimized processing for each local region rather than uniform processing across all faces.
2Measurement precision
If stricter detection conditions are applied to ensure accurate detection, then detection precision is improved, but processing speed decreases
Solution Approach 1:
The patent dynamically adjusts detection condition parameters based on face size. Small faces use stricter detection conditions to ensure precision, while large faces use more relaxed conditions to maintain speed. This parameter adaptation resolves the contradiction by matching detection strictness to the actual detection needs of each face size category.
Solution Approach 2:
The patent applies stricter detection conditions only partially - specifically to small faces where precision is most critical - rather than applying strict conditions to all faces universally. This selective application of excessive detection strictness maintains overall processing speed while ensuring accuracy where needed.
3Productivity
If detection conditions are relaxed to increase processing speed, then productivity is improved, but detection accuracy deteriorates
Solution Approach 1:
The patent changes detection condition parameters according to face size categories. Large faces use more relaxed detection conditions that enable faster processing, while small faces use stricter conditions to maintain accuracy. This prevents the loss of detection accuracy that would result from universally relaxed conditions.
4Device complexity
If uniform detection conditions are used for all face sizes, then device complexity is reduced, but detection accuracy for different face sizes deteriorates
Solution Approach 1:
The patent implements local quality by applying different detection condition strictness levels to different face size categories. Small faces receive stricter conditions while large faces receive more relaxed conditions, optimizing detection accuracy for each category without requiring a completely complex adaptive system.
Data Source
AI summary
An image processing apparatus includes a detector to detect a face. The image processing apparatus sets a size of the face to be detected, changes a detection condition for face detection in accordance with the size of the face set, applies the detection condition changed to the detector, and detects the face from the image by use of the detector to which the detection condition is applied.