J.W. Brandt, "Improved Accuracy in Gradient-Based Optical Flow Estimation," Int'l J. Computer Vision, vol. 25, pp. 5-22, 1997. Home/Search Document Not in Database Summary Related Articles Check |
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Improving Feature Tracking with Robust Statistics - Fusiello, Trucco, Tommasini, .. (1999) (8 citations) (Correct)
....based on explicit photometric models. 316 A. Fusiello et al. 4. SUMMARY OF THE ALGORITHM The RobustTracking algorithm can be summarised as follows: 1. given an image sequence; 2. filter the sequence with a Gaussian kernel in space and time (for the selection of the kernel scale see Brandt [24]) 3. select features to be tracked according to Eq. 9) 4. register features in each pair of consecutive frames in the sequence, using translational warping (2) 5. in the last frame of the sequence, compute the residuals between this and the first frame, for each feature, using affine ....
Brandt JW. Improved accuracy in gradient-based optical flow estimation. International Journal of Computer Vision 1997; 25(1): 5--22
Improving Feature Tracking with Robust Statistics - Fusiello, Trucco, Tommasini, .. (1999) (8 citations) (Correct)
....4 Summary of the RobustTracking algorithm The RobustTracking algorithm can be summarized as follows: Improving Feature Tracking with Robust Statistics 1. given an image sequence; 2. filter the sequence with a Gaussian kernel in space and time (for the selection of the scale of the kernel, see [4]) 3. select features to be tracked according to (9) 4. register features in each pair of consecutive frames in the sequence, using translational warping (2) 5. in the last frame of the sequence, compute the residuals between this and the first frame, for each feature, using affine warping (14) ....
J. W. Brandt. Improved accuracy in gradient-based optical flow estimation. International Journal of Computer Vision, 25(1):5--22, 1997.
Point Matching under Large Image Deformations and.. - Georgescu, Meer (2004) (Correct)
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J.W. Brandt, "Improved Accuracy in Gradient-Based Optical Flow Estimation," Int'l J. Computer Vision, vol. 25, pp. 5-22, 1997.
Exploring the Practical Limits of Optical Flow - Barnum, Hu, Brown (2003) (Correct)
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J. W. Brandt. Improved accuracy in gradient-based optical flow estimation. International Journal of Computer Vision, 25(1):5--22, 1997.
Multimodal Elastic Matching of Brain Images - Roche, Guimond, Ayache, Meunier (2000) (3 citations) (Correct)
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J. W. Brandt. Improved accuracy in gradient-based optical flow estimation. International Journal of Computer Vision, 25(1):5--22, 1997.
Fundamental Matrix From Optical Flow: Optimal.. - Kanatani, Shimizu.. (2000) (Correct)
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J. W. Brandt, "Improved accuracy in gradient-based optical flow estimation, " Int. J. Comput. Vis. 25#1#, 1--22 #1997#.
Dynamic Motion Analysis Using Wavelet Flow Surface Images - Chang, Huntsberger (1999) (1 citation) (Correct)
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Brandt, J. W. (1997). Improved accuracy in gradient-based optical flow estimation. Int. J Computer Vision 25 (1), 5--22.
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