Image Composition Apparatus Subject Overlap Avoidance
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Solution Overview
Problem
Existing image processing technologies fail to effectively combine captured images with composition-purpose images in a way that matches the arrangement of subjects, leading to potential overlap or mismatch with the scene, resulting in unsuitable composite images.
Innovation Solution
An image processing apparatus and method that includes a subject detection unit, position analysis unit, image selection unit, and composition unit to detect subjects, analyze their arrangement, select and arrange composition-purpose images randomly to avoid overlap with subjects and maintain consistent positional relations across continuous images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If composition-purpose images are selected and arranged randomly, then variety and surprise are provided to users, but the composition-purpose images may overlap with subjects or other composition-purpose images, resulting in mismatched composite images
Solution Approach 1:
The patent applies dynamics by making the arrangement of composition-purpose images adaptive rather than static. The system dynamically adjusts the position, size, and arrangement of composition-purpose images based on detected subject positions and arrangements in the captured image. This allows the composite image to adapt to different scenes while maintaining reliability by avoiding overlaps with subjects.
Solution Approach 2:
The patent changes parameters such as position, size, and arrangement of composition-purpose images based on subject detection results. By modifying these parameters dynamically according to the captured scene, the system achieves both variety (through random selection) and reliability (through parameter adjustment to avoid overlaps).
2Reliability
If composition-purpose images are arranged to avoid overlap with subjects, then matched composite images are generated, but the arrangement becomes deterministic rather than random
Solution Approach 1:
The system maintains randomness through dynamic adaptation. While the selection of composition-purpose images remains random, their arrangement parameters (position, size, rotation) are dynamically adjusted based on subject detection. This creates a hybrid approach that preserves variety while ensuring reliability.
3Quantity of substance
If multiple composition-purpose images are arranged in the captured image, then rich composite images are created, but the complexity of determining non-overlapping arrangement increases
Solution Approach 1:
The patent applies segmentation by dividing the image space into regions based on subject positions. Composition-purpose images are then arranged in specific regions or zones that are predetermined to avoid overlap with subjects. This segmentation approach simplifies the arrangement process even when multiple composition-purpose images are used.
Solution Approach 2:
The system performs preliminary action by pre-defining arrangement regions and rules for composition-purpose images based on subject detection. This preliminary arrangement strategy simplifies the subsequent placement of multiple composition-purpose images, reducing computational complexity while maintaining effective non-overlapping arrangement.
Data Source
AI summary
A composite image is generated by a method including: detecting at least one in a captured image; judging arrangement of the at least one subject by an arithmetic operation; selecting at least one composition-purpose image at random in accordance with the arrangement of the at least one subject; determining arrangement of the selected at least one composition-purpose image at random so that the at least one composition-purpose image does not overlap with one another and does not overlap with the detected at least one subject; and generating a composite image by combining the captured image with the at least one composition-purpose image.