This paper presents a comprehensive survey on vision-based robotic gras**. We
conclude three key tasks during vision-based robotic gras**, which are object localization …

We propose a single-shot approach for simultaneously detecting an object in an RGB image
and predicting its 6D pose without requiring multiple stages or having to examine multiple …

Augmented reality (AR) allows to seamlessly insert virtual objects in an image sequence. In
order to accomplish this goal, it is important that synthetic elements are rendered and …

This paper investigates long-term tracking of unknown objects in a video stream. The object
is defined by its location and extent in a single frame. In every frame that follows, the task is …

Computer vision has been studied from many persective. It expands from raw data recording
into techniques and ideas combining digital image processing, pattern recognition, machine …

If a physical object has a smooth or piecewise smooth boundary, its images obtained by
cameras in varying positions undergo smooth apparent deformations. These deformations …

We present a novel approach for model-based 6D pose refinement in color data. Building on
the established idea of contour-based pose tracking, we teach a deep neural network to …

This paper addresses the problem of real-time 3D model-based tracking by combining point-
based and edge-based tracking systems. We present a careful analysis of the properties of …

Many applications require tracking of complex 3D objects. These include visual servoing of
robotic arms on specific target objects, Augmented Reality systems that require real-time …

Since the first edition of this book in 2007, there has been a fast evolution in Virtual Reality.
Palmer Luckey designed a prototype for what would become the Oculus Rift Virtual Reality …