TY - CHAP
T1 - Computer Vision, Statistics in
T2 - Encyclopedia of Statistical SciencesEncyclopedia of Statistical Sciences
Y1 - 2006
A1 - Chellapa, Rama
A1 - Chowdhury,Amit K. Roy
KW - Computer vision
KW - sampling
KW - Statistics
KW - structure from motion
KW - tracking
AB - Computer Vision (CV) broadly refers to the discipline where extraction of useful 2D and/or 3D information from one or more images is of interest. Useful information could consist of features such as edges, lines, curves and textures, or information about depth, motion, object descriptions, etc. CV problems are usually ill-posed inverse problems. Since the image data is usually obtained from sensors such as video cameras, infrared, radar, etc., the information extraction processes often have to deal with data that is corrupted by noise from the sensors and the environment. Statistics can help in obtaining robust and accurate solutions to these inverse problems by modeling the noise processes. We present here a broad overview of the applications of statistics to different computer vision problems and explain in detail two particular applications, tracking and motion analysis, where statistical approaches have been used very successfully.
JA - Encyclopedia of Statistical SciencesEncyclopedia of Statistical Sciences
PB - John Wiley & Sons, Inc.
SN - 9780471667193
UR - http://onlinelibrary.wiley.com/doi/10.1002/0471667196.ess3129/abstract
ER -