OPTICAL FLOW ESTIMATION USING APPROXIMATE NEAREST NEIGHBOR FIELD FUSION

Jith, Nirmal OU and Ramakanth, Avinash S and Babu, Venkatesh R (2014) OPTICAL FLOW ESTIMATION USING APPROXIMATE NEAREST NEIGHBOR FIELD FUSION. In: IEEE .

PDF int_con_aco_spe_sig_pro_2014.pdf - Published Version Restricted to Registered users only Download (405kB) | Request a copy

Abstract

This paper proposes an optical flow algorithm by adapting Approximate Nearest Neighbor Fields (ANNF) to obtain a pixel level optical flow between image sequence. Patch similarity based coherency is performed to refine the ANNF maps. Further improvement in mapping between the two images are obtained by fusing bidirectional ANNF maps between pair of images. Thus a highly accurate pixel level flow is obtained between the pair of images. Using pyramidal cost optimization, the pixel level optical flow is further optimized to a sub-pixel level. The proposed approach is evaluated on the middlebury dataset and the performance obtained is comparable with the state of the art approaches. Furthermore, the proposed approach can be used to compute large displacement optical flow as evaluated using MPI Sintel dataset.

Item Type:	Journal Article
Publication:	IEEE
Series.:	International Conference on Acoustics Speech and Signal Processing ICASSP
Publisher:	IEEE
Additional Information:	Copyright for this article belongs to the IEEE
Keywords:	Optical flow; Approximate Nearest Neighbor Field; PatchMatch
Department/Centre:	Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre
Date Deposited:	12 Jan 2015 06:52
Last Modified:	12 Jan 2015 06:52
URI:	http://eprints.iisc.ac.in/id/eprint/50606

Actions (login required)

View Item