Image Segmentation
Foreground Extraction Algorithm based on an RGB-D Vision Sensor
- Main Goals
To develop an efficient foreground extraction algorithm using structure tensor and the characteristics of depth information acquired from RGB-D vision sensors such as MS Kinect.
To develop a pre-processing algorithm for interactive and energy-minimization-based segmentation approaches such as GrabCut.
- Overall Procedure
- An Real-world Example
- Application to Segmentation Techniques
Initial segmentation results obtained by applying resultant foreground and background masks to interactive segmentation (GrabCut) and matting (Spectral Matting) algorithms