3D Data Processing Visualization and Transmission, International Symposium on (2006)
University of North Carolina, Chapel Hill, USA
June 14, 2006 to June 16, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/3DPVT.2006.96
M.S. Langer , McGill University, Canada
V. Chapdelaine-Couture , McGill University, Canada
R. Mann , University of Waterloo, Canada
S. Roy , University of Montreal (DIRO), Canada
When an observer moves through a rigid 3D scene, points that are near to the observer move with a different image velocity than points that are far away. The difference between image velocity vectors is the direction of motion parallax. This direction vector points towards the observer's translation direction. Hence estimates of the direction of motion parallax are useful for estimating the observer's translation direction. Standard ways to compute the direction of motion parallax either rely on precomputed optical flow, or rely on motion compensation to remove the local image shift caused by observer rotation. Here we present a simple Fourier-based method for estimating the direction of motion parallax directly, that does not require optical flow and motion compensation. The method is real-time and performs accurately for image regions in which multiple motions are present.
S. Roy, R. Mann, V. Chapdelaine-Couture and M. Langer, "Motion Parallax without Motion Compensation in 3D Cluttered Scenes," 3D Data Processing Visualization and Transmission, International Symposium on(3DPVT), University of North Carolina, Chapel Hill, USA, 2006, pp. 65-72.