Over the centuries the evolution of methods for the capture of human movement has been
motivated by the need for new information on the characteristics of normal and pathological …

In this article, we propose an online 3-D planning algorithm for a drone to race competitively
against a single adversary drone. The algorithm computes an approximation of the Nash …

Large and diverse annotated datasets can significantly increase the accuracy of machine
learning models. However, human annotations can be cost and time intensive, and …

Tracking is a very important research subject in a real-time augmented reality context. The
main requirements for trackers are high accuracy and little latency at a reasonable cost. In …

Anticipating the future motions of 3D articulate objects is challenging due to its non-linear
and highly stochastic nature. Current approaches typically represent the skeleton of an …

In this paper, we propose a new tool to efficiently extract a class of “low-rank textures” in a
3D scene from user-specified windows in 2D images despite significant corruptions and …

We describe a method to infer dense depth from camera motion and sparse depth as
estimated using a visual-inertial odometry system. Unlike other scenarios using point clouds …

Images of a nearby celestial body collected by a camera on an exploration spacecraft
contain a wealth of actionable information. This work considers how the apparent location of …

Real-Time Camera Tracking and 3D Reconstruction Using Signed Distance Functions Bylow,
Erik; Sturm, Jürgen; Kerl, Christian; Ka Page 1 Real-Time Camera Tracking and 3D …

In this paper we present a prototype system for image based localization in urban
environments. Given a database of views of city street scenes tagged by GPS locations, the …