| D. Tzovaras, M. G. Strintzis, and H. Sahinoglou, "Evaluation of multiresolution block matching techniques for motion and disparity estimation, " Signal Process.: Image Commun., vol. 6, no. 1, pp. 59--67, Mar. 1994. |
....only work if the motion between two regions corresponds to a simple translation and is significantly smaller than the region itself. If that is not the case, then we need a method for determining which regions to correlate. One such method widely in use elsewhere is the coarse tofine approach [23]. This is based on considering regions of varying sizes and letting the motion estimates obtained at larger regions direct the search at smaller regions. The advantage of this approach is twofold firstly, it reduces the computational complexity of the problem at hand, and secondly, it allows for ....
D. Tzovaras, M. G. Strintzis, and H. Sahingglon, "Evaluation of Multiresolution Blockmatching Techniques for Motion and Disparity Estimation," Signal Processing: Image Communication, vol. 6, pp. 59--67, Mar. 1994.
....is represented at the largest appropriate region size, thus minimising aperture type problems since the amount of image data contributing to the mo79 4.1 A Multiresolution Motion Model 80 tion estimate is maximised. Such models have previously been proposed by a number of researchers, for example [42, 40, 12, 137]. It should be noted that this approach to multiresolution is distinct from dyadic decimation type schemes, or multiscale schemes, where estimation is performed on successively blurred and sub sampled versions of the images [7] The use of multiscale techniques in motion estimation is typically ....
.... in predominantly two distinct flavours multiscale and multigrid where the multiscale techniques typically take the form of dyadic decimation schemes, such as Gaussian pyramids [24, 111] or orthonormal wavelets [95] and where multigrid techniques divide up the image in different sized blocks [40, 137]. The latter type is the one favoured in the present work. The reasons for this choice are that the smoothing between levels in pyramidal schemes tends to smooth out the image structure the high frequency structure in which motion information is carried , and when combined with a sub sampling ....
D. Tzovaras, M. G. Strintzis, and H. Sahingglon. Evaluation of multiresolution blockmatching techniques for motion and disparity estimation. Signal Processing: Image Communication, 6(1):59--67, March 1994.
.... pair, given the other, by efficiently partitioning it based on the disparity content present [11] We are now exploring several alternative means of employing this segmentation in a stereoscopic sequence compression framework [12] Several groups have suggested such joint coding of the two streams [13, 9, 14, 15, 8]. Building on this work, we are addressing the specific problem of coding stereoscopic image sequences with low excess bandwidths over the bandwidth required for monocular sequences, without unduly sacrificing the perceived stereoscopic image quality [16, 17, 11] We have now succeeded in ....
D. Tzovaras, M.G. Strintzis, and H. Sahinoglou. Evaluation of multiresolution block matching techniques for motion and disparity estimation. Signal Processing: Image Communication, 6:59--67, 1994.
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D. Tzovaras, M. G. Strintzis, and H. Sahinoglou, "Evaluation of multiresolution block matching techniques for motion and disparity estimation, " Signal Process.: Image Commun., vol. 6, no. 1, pp. 59--67, Mar. 1994.
.... 5 ( 9 8 ) 0 0 0 4 6 0 [15] In order to achieve this, motion estimation and motion compensated prediction are frequently used, so as to reduce temporal redundancy in image sequences [22] Similarly in the coding of stereo and multiview images, prediction may be based on disparity compensation [33] or the best of motion and disparity compensation [34] Stereoscopic video processing has recently been the focus of considerable attention in the literature [3,6,10,13,16,24,26,28,32] A stereoscopic pair of image sequences, recorded with a di erence in the view angle, allows the ....
D. Tzovaras, M.G. Strintzis, H. Sahinoglou, Evaluation of multiresolution block matching techniques for motion and disparity estimation, Signal Processing: Image Communication 6 (March 1994) 59}67.
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D. Tzovaras, M. G. Strintzis and H. Sahinoglou, "Evaluation of multiresolution block matching techniques for motion and disparity estimation". Signal Processing: Image Communication , Vol. 6 , 1994, pp. 59-67.
No context found.
D. Tzovaras, M.G. Strintzis, H. Sahinoglou, `Evaluation of multiresolution block matching techniques for motion and disparity estimation', Signal Processing: Image Communication, Vol. 6, 59-67, 1994.
No context found.
Tzovaras, D., Strintzis, and Sahinoglou, H. 1994, "Evaluation of Multiresolution Block Matching Techniques for Motion and Disparity Estimation", Sig. Pro.: Im. Commun., 6, 59-67.
No context found.
D. Tzovaras, M.G. Strintzis, H. Sahinoglou, `Evaluation of multiresolution block matching techniques for motion and disparity estimation', Signal Processing: Image Communication, Vol. 6, 59-67, 1994.
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