Segmentation and Shape Estimation of Multiple Deformed Cloths Using a CNN-Based Landmark Detector and Clustering
Daiki Sonegawa,Koichi Ogawara,Daiki Sonegawa,Koichi Ogawara
In this paper, we propose a method for segmentation and shape estimation of multiple deformed cloths stacked on a floor from an image using a CNN-based landmark detector and clustering. The proposed method first estimates landmark positions from the heatmaps generated from the landmark detector and then clusters them using their attributes also given from the landmark detector. The contributions o...
