We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
In this work, we present a non-rigid approach to jointly solve the tasks of 2D-3D pose estimation and 2D image segmentation. In general, most frameworks which couple both pose est...
Romeil Sandhu, Samuel Dambreville, Anthony J. Yezz...
Abstract— Robust vision-based grasping is still a hard problem for humanoid robot systems. When being restricted to using the camera system built-in into the robot’s head for o...
Active model-based segmentation has frequently been used in medical image processing with considerable success. Although the active model-based method was initially viewed as an op...
In video sequence processing, shadow remains a major source of error for object segmentation. Traditional methods of shadow removal are mainly based on colour difference threshold...