Animation Tool Pose Copying via Software Buffer
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Solution Overview
Problem
The time-consuming process of animating scenes in computer-generated imagery (CGI) and computer-aided animation, particularly in setting up character poses and animation frame data, hinders efficiency and productivity for animators.
Innovation Solution
A method that allows animators to easily copy and reuse character poses by selecting and pasting animation data from prerecorded media into an animation tool, utilizing a software buffer to replicate desired poses quickly and efficiently from a large inventory of animated videos.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If animators manually pose and prepare models to achieve visually desired results, then animation quality and character consistency are improved, but production time and effort increase significantly
Solution Approach 1:
The system enables animators to copy character poses from reference images or previous frames by capturing the pose data and applying it to new scenes. This copying mechanism preserves exact character positioning and orientation, ensuring consistency across different shots while dramatically reducing the time required to manually recreate poses.
Solution Approach 2:
The system pre-processes and stores character pose data from reference materials in a reusable format. By preparing pose libraries and reference data in advance, animators can quickly retrieve and apply pre-analyzed pose information without performing time-consuming manual posing for each new scene.
2Reliability
If animators create detailed character poses manually to maintain character personality and appearance, then animation quality is improved, but productivity decreases
Solution Approach 1:
The system captures and copies precise character pose data from reference images, including joint positions, rotation angles, and spatial coordinates. This automated copying ensures that character appearances and poses are reproduced accurately across multiple scenes, maintaining personality consistency while eliminating repetitive manual adjustment work.
Solution Approach 2:
The system introduces an intermediary pose extraction and management layer between reference materials and the animation output. This intermediary component automatically analyzes reference images, extracts pose parameters, and prepares them for application, serving as a bridge that maintains quality while boosting productivity.
3Manufacturing precision
If animators spend several hours to days preparing each animation scene, then pose accuracy and visual quality are improved, but overall production efficiency deteriorates
Solution Approach 1:
The system captures precise pose data from reference images by detecting key anatomical points and calculating transformation matrices. This automated copying process achieves high pose accuracy by mathematically reproducing the exact positioning, orientation, and scaling from references, eliminating manual measurement errors while dramatically speeding up the workflow.
Solution Approach 2:
The system replaces the manual mechanical process of measuring and positioning character models with an automated computer vision-based system. By using image processing algorithms to detect poses and automatically apply transformation matrices, the system achieves comparable or superior precision to manual methods while reducing preparation time from hours to minutes.
Data Source
AI summary
Techniques are disclosed that allow animators to easily share and reuse character poses such as gestures, expressions, and mouth shapes. When starting on a new shot, an animator often wants a character to have the same pose exactly as the end of the previous shot. According to various embodiments, an animator can easily set up these hookup poses by animator copying a pose directly from a clip of prerecorded media. In one aspect, a pose at the current playhead of the playback tool is copied into a software buffer of an animation tool and then pasted into a character. Thus, the animator may copy a pose exactly as he/she is seeing visually. In various aspects, animators can choose a pose from an entire inventory of available animated videos. This provides a more efficient method for selecting a pose since the user can easily choose and pick a pose from a large inventory of animated videos and bring in a desired pose in a matter of a few mouse clicks.