ORB: An efficient alternative to SIFT or SURF
- Ethan Rublee, V. Rabaud, K. Konolige, G. Bradski
- Computer ScienceVision
- 6 November 2011
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.
Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes
- Stefan Hinterstoißer, V. Lepetit, Nassir Navab
- Computer ScienceAsian Conference on Computer Vision
- 5 November 2012
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.
Learning OpenCV - computer vision with the OpenCV library: software that sees
- G. Bradski, A. Kaehler
- Computer Science
- 2008
Computer Vision Face Tracking For Use in a Perceptual User Interface
- G. Bradski
- Computer Science
- 1998
The mean shift algorithm is modified to deal with dynamically changing color probability distributions derived from video frame sequences, called the Continuously Adaptive Mean Shift (CAMSHIFT), which is used as a computer interface for controlling commercial computer games and for exploring immersive 3D graphic worlds.
Evaluating MapReduce for Multi-core and Multiprocessor Systems
- Colby Ranger, R. Raghuraman, Arun Penmetsa, G. Bradski, C. Kozyrakis
- Computer ScienceIEEE 13th International Symposium on High…
- 10 February 2007
It is established that, given a careful implementation, MapReduce is a promising model for scalable performance on shared-memory systems with simple parallel code.
Fast 3D recognition and pose using the Viewpoint Feature Histogram
- R. Rusu, G. Bradski, R. Thibaux, John M. Hsu
- Computer ScienceIEEE/RSJ International Conference on Intelligent…
- 3 December 2010
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.
Map-Reduce for Machine Learning on Multicore
- Cheng-Tao Chu, Sang Kyun Kim, K. Olukotun
- Computer ScienceNIPS
- 4 December 2006
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.
Real time face and object tracking as a component of a perceptual user interface
- G. Bradski
- Computer ScienceProceedings Fourth IEEE Workshop on Applications…
- 19 October 1998
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.
CAD-model recognition and 6DOF pose estimation using 3D cues
- A. Aldoma, M. Vincze, G. Bradski
- Computer ScienceIEEE International Conference on Computer Vision
- 1 November 2011
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.
Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library
- A. Kaehler, G. Bradski
- Computer Science
- 14 December 2016
Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book any developer or hobbyist needs to get started, with the help of hands-on exercises in each chapter.
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