3D Surface Profile Generation from Filtered Binary Volumes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods, such as those discussed in Japanese Examined Patent Application Publication No. H06-032042, struggle to generate a smooth surface profile from a binary volume obtained by the shape-from-silhouette method, making it difficult to create a high-quality three-dimensional geometric model.
Innovation Solution
An image processing apparatus that converts a binary volume into a multivalued volume through filter processing, using methods like weighted average or Gaussian filtering, and generates a smooth surface profile based on the multivalued volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If filter processing is performed on binary volume to generate multivalued volume, then surface smoothness is improved, but processing complexity increases
Solution Approach 1:
The patent applies filter processing (such as Gaussian filtering or weighted average filtering) to the binary volume data before surface profile generation. This preliminary smoothing action converts the binary volume into a multivalued volume, which then enables the generation of smooth surface profiles without requiring complex post-processing steps.
Solution Approach 2:
The patent transforms the volume data from binary state (0 or 1) to multivalued state (continuous or discrete range of values) through filter processing. This parameter transformation allows the surface profile generation algorithm to produce smooth surfaces by utilizing the gradient information embedded in the multivalued volume data.
2Manufacturing precision
If filter processing is applied to binary volume, then rendering quality is improved, but calculation time increases
Solution Approach 1:
The filter processing is performed as a preliminary step before surface profile generation and rendering. By smoothing the volume data in advance, the patent reduces the computational burden during the actual rendering phase, as the surface extraction algorithms can work with pre-smoothed multivalued data rather than raw binary data.
Solution Approach 2:
The patent changes the data representation from binary to multivalued through filtering, which encodes surface information in the gradient of the filtered values. This parameter transformation allows for more efficient surface extraction algorithms that can leverage the continuous variation in the multivalued volume to quickly identify and render smooth surfaces.
Data Source
AI summary
An image processing apparatus includes at least one memory configured to store instructions, and at least one processor configured to execute the stored instructions to obtain a binary volume, generate a multivalued volume by performing filter processing on the obtained binary volume, and generate a surface profile of a three-dimensional geometric model based on the generated multivalued volume.