Inexpensive RGB-D cameras that give an RGB image together with depth data have
become widely available. We use this data to build 3D point clouds of a full scene. In this …

Inexpensive RGB-D cameras that give an RGB image together with depth data have
become widely available. In this paper, we use this data to build 3D point clouds of full …

RGB-D cameras, which give an RGB image to-gether with depths, are becoming
increasingly popular for robotic perception. In this paper, we address the task of detecting …

RGB-D cameras, which give an RGB image together with depths, are becoming increasingly
popular for robotic perception. In this paper, we address the task of detecting commonly …

The availability of RGB-D (Kinect-like) cameras has led to an explosive growth of research
on robot perception. RGB-D cameras provide high resolution (640 x 480) synchronized …

While much exciting progress is being made in 3D reconstruction of scenes, object labeling
of 3D point cloud for indoor scenes has been left as a challenge issue. How should we …

With the progress of machine learning, the demand for realistic data with high-quality
annotations has been thriving. In order to generalize well, considerable amounts of data are …

Semantic reconstruction of a scene is important for a variety of applications such as 3D
modelling, object recognition and autonomous robotic navigation. However, most object …

Recent advances in computer vision on the one hand, and imaging technologies on the
other hand, have opened up a number of interesting possibilities for robust 3D scene …

Semantic labeling of RGB-D scenes is very important in enabling robots to perform mobile
manipulation tasks, but different tasks may require entirely different sets of labels. For …