HIERARCHICAL MODEL-BASED MOTION ESTIMATION

被引：0
|
作者：
BERGEN, JR
ANANDAN, P
HANNA, KJ
HINGORANI, R
机构：
来源：
LECTURE NOTES IN COMPUTER SCIENCE | 1992年 / 588卷
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper describes a hierarchical estimation framework for the computation of diverse representations of motion information. The key features of the resulting framework (or family of algorithms) are a global model that constrains the overall structure of the motion estimated, a local model that is used in the estimation process, and a coarse-fine refinement strategy. Four specific motion models: affine flow, planar surface flow, rigid body motion, and general optical flow, are described along with their application to specific examples.
引用
收藏
页码：237 / 252
页数：16
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