A new and fast approach for DPIV using an incompressible affine flow model

详细信息    查看全文

• 作者：Hongdong Li ; Jilin Liu and Weikang Gu
• 关键词：Key words ; Affine model &#8211 ; Flow visualization &#8211 ; Optical flow &#8211 ; Computer vision &#8211 ; DPIV
• 刊名：Machine Vision and Applications
• 出版年：2000
• 出版时间：February 2000
• 年：2000
• 卷：11
• 期：5
• 页码：252-256
• 全文大小：604 KB

文摘

Traditional digital particle image velocimetry (DPIV) methods are previously based on area-correlation. Though proven to be very time-consuming and error prone, it has been widely adopted because it is conceptually simple, and easy to implement, and also because there are few alternatives. This paper provides a non-correlative, conceptually new, fast and efficient approach for DPIV which takes the nature of flow into consideration. An incompressible affine flow model (IAFM) is introduced to describe a flow that incorporates rational constraint directly into the computation. This IAFM, combining with a modified optical flow method – named total optical flow computation, provides a linear system solution to DPIV. Experimental results on real images demonstrate our method to be a very promising approach for DPIV.