This paper proposes an efficient and effective scheme to applying the sliding window
approach popular in computer vision to 3D data. Specifically, the sparse nature of the …

The availability of high-resolution remote sensing (HRRS) data has opened up the
possibility for new interesting applications, such as per-pixel classification of individual …

Recent advances in 3D sensing technologies make it possible to easily record color and
depth images which together can improve object recognition. Most current methods rely on …

Given an image and an aligned depth map of an object, our goal is to estimate the full 7-
dimensional gripper configuration—its 3D location, 3D orientation and the gripper opening …

This paper presents an approach for labeling objects in 3D scenes. We introduce HMP3D, a
hierarchical sparse coding technique for learning features from 3D point cloud data. HMP3D …

In this paper we explore how a structured light depth sensor, in the form of the Microsoft
Kinect, can assist with indoor scene segmentation. We use a CRF-based model to evaluate …

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 …

Mobile robotics is already well established in today's production lines. Navigation, control
and perception for mobile robots are vivid fields of research fostering advances in Industry …

We present an algorithm for recognition and reconstruction of scanned 3D indoor scenes.
3D indoor reconstruction is particularly challenging due to object interferences, occlusions …

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 …