Title

An Adaptive Scheme For Estimating Motion

Abstract

In this paper, we propose a new scheme for estimating the motion adaptively at each pixel. We assume non-stationary statistics for noise and motion, and propose a blind approach based on using the Generalized Cross Validation (GCV) technique. We thus determine a different level of regularization at each pixel based on the local statistics using GCV. The problems addressed include the preservation of discontinuities, model/data errors, and confidence measures. Experimental results demonstrate the high accuracy of the prposed technique applied to both synthetic and real data. © 2004 IEEE.

Publication Date

12-1-2004

Publication Title

Proceedings - International Conference on Image Processing, ICIP

Volume

3

Number of Pages

1831-1834

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICIP.2004.1421432

Socpus ID

20444433543 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/20444433543

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