Accession Number:

ADA470442

Title:

Multi-scale 3D Scene Flow from Binocular Stereo Sequences (Preprint)

Descriptive Note:

Journal article

Corporate Author:

BOSTON UNIV MA DEPT OF COMPUTER SCIENCE

Personal Author(s):

Report Date:

2007-06-01

Pagination or Media Count:

30.0

Abstract:

Scene flow methods estimate the three-dimensional motion field for points in the world using multi-camera video data. Such methods combine multi-view reconstruction with motion estimation. This paper describes an alternative formulation for dense scene flow estimation that provides reliable results using only two cameras by fusing stereo and optical flow estimation into a single coherent framework. Internally, the proposed algorithm generates probability distributions for optical flow and disparity. Taking into account the uncertainty in the intermediate stages allows for more reliable estimation of the 3D scene flow than previous methods allow. To handle the aperture problems inherent in the estimation of optical flow and disparity, a multi-scale method along with a novel region-based technique is used within a regularized solution. This combined approach both preserves discontinuities and prevents over-regularization - to problems commonly associated with the basic multi-scale approaches. Experiments with synthetic and real test data demonstrate the strength of the proposed approach.

Subject Categories:

  • Humanities and History
  • Statistics and Probability
  • Photography

Distribution Statement:

APPROVED FOR PUBLIC RELEASE