Interactive Texture Segmentation of 3-D Scanned Models Leveraging Multiview Automatic Segmentation

In 3-D model scanning, the raw texture of a 3-D model often requires segmentation into distinct regions to apply different material properties to each region. Current methods, such as manual segmentation, are labor-intensive, while automatic segmentation techniques lack user control. We propose an interactive tool that combines automatic segmentation with minimal manual intervention, striking an optimal balance between efficiency and control. Following a multiview automatic segmentation process that divides the texture into small subsegments, users cluster the subsegments into segments by drawing simple scribbles in the 3-D model view. We show that our approach results in more detailed subsegments compared to automatic segmentation approaches. Furthermore, a user study confirms that our approach improves segmentation accuracy and quality compared to manual segmentation with standard 3-D computer graphics software. This research paves the way for more efficient texture segmentation in 3-D model scanning.