A framework for dense optical flow from multiple sparse hypotheses

Optical flow forms an important initial processing stage for many machine vision tasks. A framework is presented for the recovery of dense optical flows from image sequences containing large motions. Sparse feature correspondences are used to assign multiple optical flow hypotheses to each image pix...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Smith, T.M.A., Redmill, D.W., Canagarajah, C.N., Bull, D.R.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Feature extraction Image motion analysis Image resolution Image sequences Machine vision Motion estimation Optical propagation Pixel Refining Video compression
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