Energy flow: image correspondence approximation for motion analysis

We propose a correspondence approximation approach between temporally adjacent frames for motion analysis. First, energy map is established to represent image spatial features on multiple scales using Gaussian convolution. On this basis, energy flow at each layer is estimated using Gauss–Seidel iter...

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Bibliographic Details
Main Authors: Wang, Liangliang, Li, Ruifeng, Fang, Yajun
Other Authors: Massachusetts Institute of Technology. Microsystems Technology Laboratories
Format: Article
Language:en_US
Published: SPIE 2016
Online Access:http://hdl.handle.net/1721.1/103903