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Context-Aware Computer Aided Inbetweening.
IEEE Transactions on Visualization and Computer Graphics
|January 28, 2017
Summary
This study introduces a context-aware computer-aided inbetweening (CACAI) technique for generating animation frames. CACAI effectively interpolates planar strokes by considering stroke shape and context, preserving visual appearance during complex motion.
Area of Science:
- Computer Graphics
- Animation
- Image Processing
Background:
- Traditional inbetweening methods often struggle with complex motion and preserving visual fidelity.
- Stroke correspondence and interpolation are critical challenges in generating smooth animation sequences.
Purpose of the Study:
- To present a novel context-aware computer-aided inbetweening (CACAI) technique.
- To improve stroke correspondence and interpolation by incorporating contextual information.
- To enhance the preservation of visual characteristics and appearance in generated inbetween frames.
Main Methods:
- Developed a CACAI technique that interpolates planar strokes using key frames.
- Employed context coherence for automatic stroke correspondence, integrating user interaction.
- Interpolated both stroke shape and spatial context for intermediate frame generation.
Main Results:
- Achieved accurate stroke correspondence by exploiting context coherence.
- Demonstrated effective interpolation that preserves stroke shape and spatial layout.
- Successfully retained feature characteristics and visual appearance of objects even with complex motions.
Conclusions:
- The CACAI technique offers an effective and user-friendly approach to inbetweening.
- Context-aware interpolation ensures high fidelity in generated animation frames.
- The prototype system validates the ease of use and effectiveness of the proposed method.
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