Image Processing System for Pose-Specific Human Region Effects
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Solution Overview
Problem
Current image processing systems require manual intervention to identify the position and pose of humans in images for applying effects, leading to difficulties in achieving natural and pose-specific manipulations in actual-captured images.
Innovation Solution
An image processing system that includes a database of specific pose data and effect manipulation data, with human region detection, pose recognition, and matching mechanisms to automatically apply manipulations based on the recognized pose, ensuring natural and pose-specific effects in images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual identification of human position and pose is performed, then flexibility in effect selection is maintained, but productivity and automation level are reduced
Solution Approach 1:
The patent pre-establishes a database linking pose data with effect manipulation data before image processing occurs. When human pose is recognized, the system automatically queries this pre-prepared database to retrieve appropriate effects, eliminating the need for manual effect selection while maintaining pose-specific appropriateness.
Solution Approach 2:
The patent introduces an intermediary database as a mediator between pose recognition and effect application. This database stores the correspondence between pose data and effect manipulation data, enabling automatic translation of pose information into appropriate effect selections without direct manual intervention.
2Ease of operation
If face recognition technique is used for manipulation, then ease of operation is improved, but measurement precision of pose-specific effects deteriorates
Solution Approach 1:
The patent segments the human figure into multiple pose indicators (head, torso, limbs) and analyzes their spatial relationships to determine pose. This segmentation allows precise pose detection beyond just face recognition, enabling accurate identification of body orientation and position for appropriate effect application.
Solution Approach 2:
The patent transitions from two-dimensional face detection to three-dimensional pose analysis by incorporating spatial relationships between multiple body parts. This dimensional expansion enables the system to understand human pose in space, allowing for more precise and natural effect application that accounts for body orientation and position.
3Adaptability or versatility
If simple rule-based manipulation is applied, then device complexity is reduced, but adaptability to different poses and positions deteriorates
Solution Approach 1:
The patent changes the parameters for effect application based on recognized pose data. Different poses trigger different effect manipulation parameters, allowing the system to adapt to various human positions and orientations. This parameter adaptation enables versatile effect application while maintaining manageable processing complexity through database-based lookups.
Data Source
AI summary
An image processing system includes a storing section that stores a database in which specific pose data representing each of specific poses of a human, and effect manipulation data specifying each of manipulations applied to an image are registered in association with each other, a human region detecting section that detects a human region that is a region where a human appears in an image on which to perform image processing, a human pose recognizing section that recognizes a pose of the human in the human region detected by the human region detecting section, a matching section that finds the specific pose data matching the pose recognized by the human pose recognizing section, by referencing the database, and a manipulating section that applies a manipulation to the image on the basis of the effect manipulation data associated with the specific pose data found by the matching section.