An Adaptive Confidence Measure for Optical Flows Based on Linear Subspace Projections-Reference-Cited by-同舟云学术

An Adaptive Confidence Measure for Optical Flows Based on Linear Subspace Projections

Published: Issue: Volume: Page:132-141
ISSN:
Container-title:Lecture Notes in Computer Science
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Author:

Kondermann Claudia,Kondermann Daniel,Jähne Bernd,Garbe Christoph

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-74936-3_14.pdf

Reference18 articles.

1. Kondermann, C., Kondermann, D., Jähne, B., Garbe, C.: Comparison of Confidence and Situation Measures and their Optimality for Optical Flows. International Journal of Computer Vision (submitted, 2007)

2. Anandan, P.: A computational framework and an algorithm for the measurement of visual motion. Internat. Journal of Computer Vision 2, 283–319 (1989)

3. Barron, J., Fleet, D., Beauchemin, S.: Performance of Optical Flow Techniques. International Journal of Computer Vision 12(1), 43–77 (1994)

4. ch. 13;H. Haußecker,1999

5. Papenberg, N., Bruhn, A., Brox, T., Didas, S., Weickert, J.: Highly Accurate Optic Flow Computation with Theoretically Justified Warping. International Journal of Computer Vision 67(2), 141–158 (2006)

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