Two step variational method for subpixel optical flow computation

Yoshihiko Mochizuki; Yusuke Kameda; Atsushi Imiya; Tomoya Sakai; Takashi Imaizumi

doi:10.1007/978-3-642-10520-3_106

Two step variational method for subpixel optical flow computation

Yoshihiko Mochizuki^*, Yusuke Kameda, Atsushi Imiya, Tomoya Sakai, Takashi Imaizumi

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

We develop an algorithm for the super-resolution optical flow computation by combining variational super-resolution and the variational optical flow computation. Our method first computes the gradient and the spatial difference of a high resolution images from these of low resolution images directly, without computing any high resolution images. Second the algorithm computes optical flow of high resolution image using the results of the first step.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	1109-1118
Number of pages	10
Volume	5876 LNCS
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-10520-3_106
Publication status	Published - 2009
Externally published	Yes
Event	5th International Symposium on Advances in Visual Computing, ISVC 2009 - Las Vegas, NV Duration: 2009 Nov 30 → 2009 Dec 2

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	5876 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	5th International Symposium on Advances in Visual Computing, ISVC 2009
City	Las Vegas, NV
Period	09/11/30 → 09/12/2

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Access to Document

10.1007/978-3-642-10520-3_106

Cite this

Mochizuki, Y., Kameda, Y., Imiya, A., Sakai, T., & Imaizumi, T. (2009). Two step variational method for subpixel optical flow computation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 5876 LNCS, pp. 1109-1118). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5876 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-10520-3_106

Two step variational method for subpixel optical flow computation. / Mochizuki, Yoshihiko; Kameda, Yusuke; Imiya, Atsushi et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5876 LNCS PART 2. ed. 2009. p. 1109-1118 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5876 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mochizuki, Y, Kameda, Y, Imiya, A, Sakai, T & Imaizumi, T 2009, Two step variational method for subpixel optical flow computation. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 5876 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5876 LNCS, pp. 1109-1118, 5th International Symposium on Advances in Visual Computing, ISVC 2009, Las Vegas, NV, 09/11/30. https://doi.org/10.1007/978-3-642-10520-3_106

Mochizuki Y, Kameda Y, Imiya A, Sakai T, Imaizumi T. Two step variational method for subpixel optical flow computation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 5876 LNCS. 2009. p. 1109-1118. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-10520-3_106

Mochizuki, Yoshihiko ; Kameda, Yusuke ; Imiya, Atsushi et al. / Two step variational method for subpixel optical flow computation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5876 LNCS PART 2. ed. 2009. pp. 1109-1118 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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Two step variational method for subpixel optical flow computation

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