The "Orthogonal Algorithm" For Optical Flow Detection Using Dynamic Programming

by Georges Quénot

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Datum	Value	Source
TITLE	The "Orthogonal Algorithm" For Optical Flow Detection Using Dynamic Programming	user correction - Legacy Corrections
AUTHOR NAME	Georges Quénot	user correction - Legacy Corrections
AUTHOR AFFIL	; ENOT	user correction - Legacy Corrections
AUTHOR ADDR	; 16 bis Av Prieur de la Cote d'Or, 94114 ARCUEIL CEDEX (FRANCE)	user correction - Legacy Corrections
ABSTRACT	This paper introduces a new and original algorithm for optical flow detection. It is based on an iterative search for a displacement field that minimizes the L 1 or L 2 distance between two images. Both images are sliced into parallel and overlapping strips. Corresponding strips are aligned using dynamic programming exactly as 2D representations of speech signal are with the DTW algorithm. Two passes are performed using orthogonal slicing directions. This process is iterated in a pyramidal fashion by reducing the spacing and width of the strips. This algorithm provides a very high quality matching for calibrated patterns as well as for human visual sensation. The results appears to be at least as good as those obtained with classical optical flow detection methods. 1. INTRODUCTION Optical flow detection is a very essential and generic procedure that needs to be implemented in computer vision systems. It is necessary in a wide range of applications such as: image matching for stereo...	user correction - Legacy Corrections
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