• Publications
  • Influence
ORB: An efficient alternative to SIFT or SURF
TLDR
This paper proposes a very fast binary descriptor based on BRIEF, called ORB, which is rotation invariant and resistant to noise, and demonstrates through experiments how ORB is at two orders of magnitude faster than SIFT, while performing as well in many situations. Expand
Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes
TLDR
A framework for automatic modeling, detection, and tracking of 3D objects with a Kinect and shows how to build the templates automatically from 3D models, and how to estimate the 6 degrees-of-freedom pose accurately and in real-time. Expand
Computer Vision Face Tracking For Use in a Perceptual User Interface
TLDR
The development of the first core module in this effort: a 4-degree of freedom color object tracker and its application to flesh-tone-based face tracking and the development of a robust nonparametric technique for climbing density gradients to find the mode of a color distribution within a video scene. Expand
Evaluating MapReduce for Multi-core and Multiprocessor Systems
TLDR
It is established that, given a careful implementation, MapReduce is a promising model for scalable performance on shared-memory systems with simple parallel code. Expand
Fast 3D recognition and pose using the Viewpoint Feature Histogram
TLDR
The Viewpoint Feature Histogram (VFH) is presented, a descriptor for 3D point cloud data that encodes geometry and viewpoint that is robust to large surface noise and missing depth information in order to work reliably on stereo data. Expand
Stanley: The robot that won the DARPA Grand Challenge
TLDR
The robot Stanley was developed for high-speed desert driving without human intervention and relied predominately on state-of-the-art AI technologies, such as machine learning and probabilistic reasoning, which won the 2005 DARPA Grand Challenge. Expand
Real time face and object tracking as a component of a perceptual user interface
  • G. Bradski
  • Computer Science
  • Proceedings Fourth IEEE Workshop on Applications…
  • 19 October 1998
TLDR
An efficient, new algorithm is described here based on the mean shift algorithm, which robustly finds the mode (peak) of probability distributions within a video scene and is used as an interface for games and graphics. Expand
CAD-model recognition and 6DOF pose estimation using 3D cues
TLDR
The Clustered Viewpoint Feature Histogram (CVFH) is described and it is shown that it can be effectively used to recognize objects and 6DOF pose in real environments dealing with partial occlusion, noise and different sensors atributes for training and recognition data. Expand
Map-Reduce for Machine Learning on Multicore
TLDR
This work shows that algorithms that fit the Statistical Query model can be written in a certain "summation form," which allows them to be easily parallelized on multicore computers and shows basically linear speedup with an increasing number of processors. Expand
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