| 翻訳と辞書 |
| motion estimation ： ウィキペディア英語版 |
motion estimation
Motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another; usually from adjacent frames in a video sequence. It is an ill-posed problem as the motion is in three dimensions but the images are a projection of the 3D scene onto a 2D plane. The motion vectors may relate to the whole image (global motion estimation) or specific parts, such as rectangular blocks, arbitrary shaped patches or even per pixel. The motion vectors may be represented by a translational model or many other models that can approximate the motion of a real video camera, such as rotation and translation in all three dimensions and zoom.
More often than not, the term motion estimation and the term optical flow are used interchangeably.
==Algorithms==
The methods for finding motion vectors can be categorised into pixel based methods ("direct") and feature based methods ("indirect"). A famous debate resulted in two papers from the opposing factions being produced to try to establish a conclusion.〔Philip H.S. Torr and Andrew Zisserman: Feature Based Methods for Structure and Motion Estimation, ICCV Workshop on Vision Algorithms, pages 278-294, 1999〕〔Michal Irani and P. Anandan: About Direct Methods, ICCV Workshop on Vision Algorithms, pages 267-277, 1999.〕
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
■ウィキペディアで「motion estimation」の詳細全文を読む
スポンサード リンク
| 翻訳と辞書 : 翻訳のためのインターネットリソース |
Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.
|
|