Single color one-shot scan using topology information

Hiroshi Kawasaki; Hitoshi Masuyama; Ryusuke Sagawa; Ryo Furukawa

doi:10.1007/978-3-642-33885-4_49

Single color one-shot scan using topology information

Hiroshi Kawasaki, Hitoshi Masuyama, Ryusuke Sagawa, Ryo Furukawa

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

1 Citation (Scopus)

Abstract

In this paper, we propose a new technique to achieve one-shot scan using single color and static pattern projector; such a method is ideal for acquisition of a moving object. Since a projector-camera systems generally have uncertainties on retrieving correspondences between the captured image and the projected pattern, many solutions have been proposed. Especially for one-shot scan, which means that only a single image is used for reconstruction, positional information of a pixel on the projected pattern should be encoded by spatial and/or color information. Although color information is frequently used for encoding, it is severely affected by texture and material of the object. In this paper, we propose a technique to solve the problem by using topological information instead of colors. Our technique successfully realizes one-shot scan with monochrome pattern.

Original language	English
Title of host publication	Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings
Publisher	Springer Verlag
Pages	486-495
Number of pages	10
Edition	PART 3
ISBN (Print)	9783642338847
DOIs	https://doi.org/10.1007/978-3-642-33885-4_49
Publication status	Published - Jan 1 2012
Externally published	Yes
Event	12th European Conference on Computer Vision, ECCV 2012 - Florence, Italy Duration: Oct 7 2012 → Oct 13 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	7585 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	12th European Conference on Computer Vision, ECCV 2012
Country	Italy
City	Florence
Period	10/7/12 → 10/13/12

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-33885-4_49

Fingerprint Dive into the research topics of 'Single color one-shot scan using topology information'. Together they form a unique fingerprint.

Cite this

Kawasaki, H., Masuyama, H., Sagawa, R., & Furukawa, R. (2012). Single color one-shot scan using topology information. In Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings (PART 3 ed., pp. 486-495). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7585 LNCS, No. PART 3). Springer Verlag. https://doi.org/10.1007/978-3-642-33885-4_49

Single color one-shot scan using topology information. / Kawasaki, Hiroshi; Masuyama, Hitoshi; Sagawa, Ryusuke; Furukawa, Ryo.

Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings. PART 3. ed. Springer Verlag, 2012. p. 486-495 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7585 LNCS, No. PART 3).

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

Kawasaki, H, Masuyama, H, Sagawa, R & Furukawa, R 2012, Single color one-shot scan using topology information. in Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 7585 LNCS, Springer Verlag, pp. 486-495, 12th European Conference on Computer Vision, ECCV 2012, Florence, Italy, 10/7/12. https://doi.org/10.1007/978-3-642-33885-4_49

Kawasaki H, Masuyama H, Sagawa R, Furukawa R. Single color one-shot scan using topology information. In Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings. PART 3 ed. Springer Verlag. 2012. p. 486-495. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). https://doi.org/10.1007/978-3-642-33885-4_49

Kawasaki, Hiroshi ; Masuyama, Hitoshi ; Sagawa, Ryusuke ; Furukawa, Ryo. / Single color one-shot scan using topology information. Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings. PART 3. ed. Springer Verlag, 2012. pp. 486-495 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

@inproceedings{fc8dcfddf1284bcabd662f27032be61f,

title = "Single color one-shot scan using topology information",

abstract = "In this paper, we propose a new technique to achieve one-shot scan using single color and static pattern projector; such a method is ideal for acquisition of a moving object. Since a projector-camera systems generally have uncertainties on retrieving correspondences between the captured image and the projected pattern, many solutions have been proposed. Especially for one-shot scan, which means that only a single image is used for reconstruction, positional information of a pixel on the projected pattern should be encoded by spatial and/or color information. Although color information is frequently used for encoding, it is severely affected by texture and material of the object. In this paper, we propose a technique to solve the problem by using topological information instead of colors. Our technique successfully realizes one-shot scan with monochrome pattern.",

author = "Hiroshi Kawasaki and Hitoshi Masuyama and Ryusuke Sagawa and Ryo Furukawa",

year = "2012",

month = jan,

day = "1",

doi = "10.1007/978-3-642-33885-4_49",

language = "English",

isbn = "9783642338847",

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

publisher = "Springer Verlag",

number = "PART 3",

pages = "486--495",

booktitle = "Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings",

address = "Germany",

edition = "PART 3",

note = "12th European Conference on Computer Vision, ECCV 2012 ; Conference date: 07-10-2012 Through 13-10-2012",

}

TY - GEN

T1 - Single color one-shot scan using topology information

AU - Kawasaki, Hiroshi

AU - Masuyama, Hitoshi

AU - Sagawa, Ryusuke

AU - Furukawa, Ryo

PY - 2012/1/1

Y1 - 2012/1/1

N2 - In this paper, we propose a new technique to achieve one-shot scan using single color and static pattern projector; such a method is ideal for acquisition of a moving object. Since a projector-camera systems generally have uncertainties on retrieving correspondences between the captured image and the projected pattern, many solutions have been proposed. Especially for one-shot scan, which means that only a single image is used for reconstruction, positional information of a pixel on the projected pattern should be encoded by spatial and/or color information. Although color information is frequently used for encoding, it is severely affected by texture and material of the object. In this paper, we propose a technique to solve the problem by using topological information instead of colors. Our technique successfully realizes one-shot scan with monochrome pattern.

AB - In this paper, we propose a new technique to achieve one-shot scan using single color and static pattern projector; such a method is ideal for acquisition of a moving object. Since a projector-camera systems generally have uncertainties on retrieving correspondences between the captured image and the projected pattern, many solutions have been proposed. Especially for one-shot scan, which means that only a single image is used for reconstruction, positional information of a pixel on the projected pattern should be encoded by spatial and/or color information. Although color information is frequently used for encoding, it is severely affected by texture and material of the object. In this paper, we propose a technique to solve the problem by using topological information instead of colors. Our technique successfully realizes one-shot scan with monochrome pattern.

UR - http://www.scopus.com/inward/record.url?scp=84867696017&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84867696017&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-33885-4_49

DO - 10.1007/978-3-642-33885-4_49

M3 - Conference contribution

AN - SCOPUS:84867696017

SN - 9783642338847

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

SP - 486

EP - 495

BT - Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings

PB - Springer Verlag

T2 - 12th European Conference on Computer Vision, ECCV 2012

Y2 - 7 October 2012 through 13 October 2012

ER -