Region-based pose tracking

Christian Schmaltz; Bodo Rosenhahn; Thomas Brox; Daniel Cremers; Joachim Weickert; Lennart Wietzke; Gerald Sommer

doi:10.1007/978-3-540-72849-8_8

Region-based pose tracking

Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Joachim Weickert, Lennart Wietzke, Gerald Sommer

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

29 Scopus citations

Abstract

This paper introduces a technique for region-based pose tracking without the need to explicitly compute contours. We assume a surface model of a rigid object and at least one calibrated camera view. The goal is to find the pose parameters that optimally fit the model surface to the contour of the object seen in the image. In contrast to conventional contour-based techniques, which acquire the contour to be extracted explicitly from the image, our approach optimizes an energy directly defined on the pose parameters. We show experimental results for rather challenging scenes observed with a monocular and a stereo camera system.

Original language	English
Title of host publication	Pattern Recognition and Image Analysis - Third Iberian Conference, IbPRIA 2007, Proceedings
Publisher	Springer Verlag
Pages	56-63
Number of pages	8
Edition	PART 2
ISBN (Print)	9783540728481
DOIs	https://doi.org/10.1007/978-3-540-72849-8_8
State	Published - 2007
Externally published	Yes
Event	3rd Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2007 - Girona, Spain Duration: 6 Jun 2007 → 8 Jun 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	4478 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2007
Country/Territory	Spain
City	Girona
Period	6/06/07 → 8/06/07

Access to Document

10.1007/978-3-540-72849-8_8

Cite this

Schmaltz, C., Rosenhahn, B., Brox, T., Cremers, D., Weickert, J., Wietzke, L., & Sommer, G. (2007). Region-based pose tracking. In Pattern Recognition and Image Analysis - Third Iberian Conference, IbPRIA 2007, Proceedings (PART 2 ed., pp. 56-63). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4478 LNCS, No. PART 2). Springer Verlag. https://doi.org/10.1007/978-3-540-72849-8_8

Schmaltz, Christian ; Rosenhahn, Bodo ; Brox, Thomas et al. / Region-based pose tracking. Pattern Recognition and Image Analysis - Third Iberian Conference, IbPRIA 2007, Proceedings. PART 2. ed. Springer Verlag, 2007. pp. 56-63 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{e689f41ebafb407cadc004b11b38547b,

title = "Region-based pose tracking",

abstract = "This paper introduces a technique for region-based pose tracking without the need to explicitly compute contours. We assume a surface model of a rigid object and at least one calibrated camera view. The goal is to find the pose parameters that optimally fit the model surface to the contour of the object seen in the image. In contrast to conventional contour-based techniques, which acquire the contour to be extracted explicitly from the image, our approach optimizes an energy directly defined on the pose parameters. We show experimental results for rather challenging scenes observed with a monocular and a stereo camera system.",

author = "Christian Schmaltz and Bodo Rosenhahn and Thomas Brox and Daniel Cremers and Joachim Weickert and Lennart Wietzke and Gerald Sommer",

year = "2007",

doi = "10.1007/978-3-540-72849-8_8",

language = "English",

isbn = "9783540728481",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

number = "PART 2",

pages = "56--63",

booktitle = "Pattern Recognition and Image Analysis - Third Iberian Conference, IbPRIA 2007, Proceedings",

edition = "PART 2",

note = "3rd Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2007 ; Conference date: 06-06-2007 Through 08-06-2007",

}

Schmaltz, C, Rosenhahn, B, Brox, T, Cremers, D, Weickert, J, Wietzke, L & Sommer, G 2007, Region-based pose tracking. in Pattern Recognition and Image Analysis - Third Iberian Conference, IbPRIA 2007, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 4478 LNCS, Springer Verlag, pp. 56-63, 3rd Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2007, Girona, Spain, 6/06/07. https://doi.org/10.1007/978-3-540-72849-8_8

Region-based pose tracking. / Schmaltz, Christian; Rosenhahn, Bodo; Brox, Thomas et al.
Pattern Recognition and Image Analysis - Third Iberian Conference, IbPRIA 2007, Proceedings. PART 2. ed. Springer Verlag, 2007. p. 56-63 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4478 LNCS, No. PART 2).

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

TY - GEN

T1 - Region-based pose tracking

AU - Schmaltz, Christian

AU - Rosenhahn, Bodo

AU - Brox, Thomas

AU - Cremers, Daniel

AU - Weickert, Joachim

AU - Wietzke, Lennart

AU - Sommer, Gerald

PY - 2007

Y1 - 2007

N2 - This paper introduces a technique for region-based pose tracking without the need to explicitly compute contours. We assume a surface model of a rigid object and at least one calibrated camera view. The goal is to find the pose parameters that optimally fit the model surface to the contour of the object seen in the image. In contrast to conventional contour-based techniques, which acquire the contour to be extracted explicitly from the image, our approach optimizes an energy directly defined on the pose parameters. We show experimental results for rather challenging scenes observed with a monocular and a stereo camera system.

AB - This paper introduces a technique for region-based pose tracking without the need to explicitly compute contours. We assume a surface model of a rigid object and at least one calibrated camera view. The goal is to find the pose parameters that optimally fit the model surface to the contour of the object seen in the image. In contrast to conventional contour-based techniques, which acquire the contour to be extracted explicitly from the image, our approach optimizes an energy directly defined on the pose parameters. We show experimental results for rather challenging scenes observed with a monocular and a stereo camera system.

UR - http://www.scopus.com/inward/record.url?scp=38049126241&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-72849-8_8

DO - 10.1007/978-3-540-72849-8_8

M3 - Conference contribution

AN - SCOPUS:38049126241

SN - 9783540728481

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 56

EP - 63

BT - Pattern Recognition and Image Analysis - Third Iberian Conference, IbPRIA 2007, Proceedings

PB - Springer Verlag

T2 - 3rd Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2007

Y2 - 6 June 2007 through 8 June 2007

ER -

Schmaltz C, Rosenhahn B, Brox T, Cremers D, Weickert J, Wietzke L et al. Region-based pose tracking. In Pattern Recognition and Image Analysis - Third Iberian Conference, IbPRIA 2007, Proceedings. PART 2 ed. Springer Verlag. 2007. p. 56-63. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-540-72849-8_8

Region-based pose tracking

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this