Fast and low power consumption outliers removal for motion vector estimation

PUGLISI, GIOVANNI
2015-01-01

Abstract

When in a pipeline a robust global motion estimation is needed, RANSAC algorithm is the usual choice. Unfortunately, since RANSAC is an iterative method based on random analysis, it is not suitable for real-time processing. This paper presents an outlier removal algorithm, which reaches a robust estimation (at least equal to RANSAC) with really low power consumption and can be employed for embedded time implementation.
2015
Inglese
Advanced Concepts for Intelligent Vision Systems
978-3-319-25902-4
978-3-319-25903-1
Springer
LECTURE NOTES IN COMPUTER SCIENCE
9386
70
80
11
WOS:000374794500007
2-s2.0-84949220494
16th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS)
Contributo
Esperti anonimi
October 26-29, 2015
Catania, Italy
internazionale
scientifica
Motion estimation; Motion retrieval; Optical flow; Outlier removal; Real time; Computer science (all); Theoretical computer science
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Spampinato, Giuseppe; Bruna, Arcangelo; Farinella, Giovanni Maria; Battiato, Sebastiano; Puglisi, Giovanni
273
5
4.1 Contributo in Atti di convegno
reserved
info:eu-repo/semantics/conferencePaper
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