ACM Transactions on Graphics· 2012Q1
Structure extraction from texture via relative total variation
- 886citations
- Q1SCImago
- 2012year
Short summary
A new method using 'relative total variation' measures effectively extracts meaningful structures from textured surfaces, overcoming challenges posed by regular, near-regular, or irregular texture patterns.
AI-generated from the title and abstract; the full text is not read.
Key points
- Introduced 'inherent variation' and 'relative total variation' measures for structure extraction.
- Developed an efficient optimization system to extract main structures from textured surfaces.
- Validated on millions of sample patches.
- Enables new applications for manipulating, rendering, and reusing 'structure with texture' images.
AI-generated from the title and abstract; the full text is not read.
Abstract
It is ubiquitous that meaningful structures are formed by or appear over textured surfaces. Extracting them under the complication of texture patterns, which could be regular, near-regular, or irregular, is very challenging, but of great practical importance. We propose new inherent variation and relative total variation measures, which capture the essential difference of these two types of visual forms, and develop an efficient optimization system to extract main structures. The new variation measures are validated on millions of sample patches. Our approach finds a number of new applications to manipulate, render, and reuse the immense number of "structure with texture" images and drawings that were traditionally difficult to be edited properly.
The authors' abstract, as published at the source. ACM Transactions on Graphics, 2012 · DOI ↗
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Field: Computer Graphics and Computer-Aided Design
Computer Graphics and Computer-Aided DesignComputer Science