Assembled Group Image Generation Using Height Data
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Solution Overview
Problem
Traditional group photography faces challenges such as difficulty in gathering all individuals at the same time, coordinating facial expressions, and the inability to update group photographs without retaking the entire session, especially when members leave or join.
Innovation Solution
A method and system for generating an assembled group image from individual images using height data to determine vertical shift factors, allowing for the arrangement of subjects in a cohesive group image without the need for a single photography session, using a computing device to adjust and render the final image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional group photography is used to capture all members together, then a complete group image can be obtained, but it requires gathering all people at the same time and place which is difficult to coordinate
Solution Approach 1:
The patent divides the group photography process into individual portrait sessions, where each member is photographed separately. These individual images are then digitally assembled into a composite group image, eliminating the need to coordinate all members simultaneously while maintaining complete group representation.
Solution Approach 2:
The patent creates digital copies of individual portraits and assembles them to form a synthetic group image. This digital composition technique allows the group image to be constructed from separate individual photographs rather than requiring a single group photograph session.
2Reliability
If traditional group photography is used, then all members can be captured in one image, but updating the image when members change requires retaking the entire photography session
Solution Approach 1:
The patent captures individual portraits in advance during separate photo sessions, storing them for future use. When the group composition changes, pre-captured individual images can be quickly reassembled without needing to retake photographs, significantly reducing update time.
Solution Approach 2:
The patent creates a dynamic, flexible system where individual portrait images can be independently selected and reassembled based on current group membership. This allows the group image to be easily updated by simply changing which individual images are included in the composite, rather than retaking the entire group photo.
3Reliability
If traditional group photography is used, then a single photograph captures the moment, but coordinating facial expressions of all members simultaneously is extremely difficult
Solution Approach 1:
The patent separates the expression coordination problem by photographing each individual separately, where only that person's expression needs to be coordinated. This eliminates the complexity of synchronizing multiple people's expressions simultaneously, as each portrait is captured independently with focused attention on that single subject.
4Adaptability or versatility
If individual images are assembled into a group image, then updates are easier, but achieving realistic depth perception and proper positioning requires complex processing
Solution Approach 1:
The patent replaces manual, mechanical positioning methods with automated computational processing. Software algorithms automatically analyze individual portraits, determine appropriate positions based on inferred height and spatial relationships, and assemble the composite image with realistic depth perception, reducing the need for complex manual intervention.
Data Source
AI summary
An assembled group image is generated from subject images. Each of the subject images is associated with height data for the subject in the image. The height data is used to position the subject images in the assembled group image to provide a natural appearance. Shadows can also be added to the assembled group image.