An Adaptive Confidence Measure for Optical Flows Based on Linear Subspace Projections

Abstract. Confidence measures are important for the validation of optical flow fields by estimating the correctness of each displacement vector. There are several frequently used confidence measures, which have been found of at best intermediate quality. Hence, we propose a new confidence measure based on linear subspace projections. The results are compared to the best previously proposed confidence measures with respect to an optimal confidence. Using the proposed measure we are able to improve previous results by up to 31%.

• Type: Conference
• Year: 2007
• Where: DAGM
• Authors: Claudia Kondermann, Daniel Kondermann, Bernd Jähne, Christoph S. Garbe
• Keywords: Confidence Measures, DAGM 2007, Image Processing, Optical Flow Fields, Optimal Confidence