Morphological Attractor for Custom Ancestor Alignment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Inheritance-based character generation techniques require ancestor models with the same meshing and alignment, limiting the creation of custom child characters to only blending predefined ancestors, preventing users from adding models with different meshing, alignment, or unique proportions.
Innovation Solution
A method that uses morphological attractors to align and transform predefined ancestor models, allowing the creation of custom ancestor models with user-specified blending settings, even when the custom models have different topologies, enabling the blending of models with diverse shapes and proportions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If ancestor models must have the same meshing and alignment for blending, then blending precision is improved, but model diversity is limited
Solution Approach 1:
The patent introduces a morphological attractor as an intermediary transformation function that mediates between ancestor models with different topologies and the required aligned meshing for blending. The attractor takes ancestor models with diverse characteristics and transforms them into a common aligned representation space, enabling both diverse input models and precise blending output.
Solution Approach 2:
The system changes the topological parameters of ancestor models through application of the morphological attractor. By transforming models through this parameter change process, the system can accommodate diverse original topologies while producing aligned results suitable for precise blending operations.
2Stability of the object's composition
If predefined ancestor models with fixed topology are used, then blending consistency is improved, but creativity is limited
Solution Approach 1:
The system transforms from a static set of predefined ancestor models to a dynamic process where any input model can be transformed into the ancestor space through the morphological attractor. This dynamic transformation capability maintains blending consistency while enabling unlimited creative input possibilities.
Solution Approach 2:
The morphological attractor serves as a universal transformation function that can process any input model type and convert it to the standardized ancestor representation. This multi-functional capability replaces the need for multiple specialized predefined ancestors with a single universal transformation system.
3Adaptability or versatility
If models with different topologies are allowed as ancestors, then model versatility is improved, but blending accuracy deteriorates
Solution Approach 1:
The system performs preliminary action by applying the morphological attractor transformation to all input models before the blending operation. This pre-transformation step aligns models with different topologies to a common representation space, ensuring that subsequent blending operations achieve high accuracy despite the diversity of original models.
Data Source
AI summary
Techniques are disclosed for creating and customizing graphical models. In one embodiment, a design application receives a morphological attractor created from the same mesh as one or more inheritance-based character generation ancestor models. Upon receiving the morphological attractor, the design application may use the attractor to align and transform the ancestor models to create a new set of ancestor models which resemble the attractor. The new set of ancestor models is referred to herein as being in the “genetic space” of the attractor. A user may then create child character models in this same genetic space by, globally or locally, blending two or more of the new ancestor models.