Shape reconstruction from cast shadows using coplanarities and metric constraints

Hiroshi Kawasaki, Ryo Furukawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

To date, various techniques of shape reconstruction using cast shadows have been proposed. The techniques have the advantage that they can be applied to various scenes including outdoor scenes without using special devices. Previously proposed techniques usually require calibration of camera parameters and light source positions, and such calibration processes make the application ranges limited. If a shape can be reconstructed even when these values are unknown, the technique can be used to wider range of applications. In this paper, we propose a method to realize such a technique by constructing simultaneous equations from coplanarities and metric constraints, which are observed by cast shadows of straight edges and visible planes in the scenes, and solving them. We conducted experiments using simulated and real images to verify the technique.

Original languageEnglish
Title of host publicationComputer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings
Pages847-857
Number of pages11
EditionPART 2
Publication statusPublished - Dec 1 2007
Externally publishedYes
Event8th Asian Conference on Computer Vision, ACCV 2007 - Tokyo, Japan
Duration: Nov 18 2007Nov 22 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4844 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th Asian Conference on Computer Vision, ACCV 2007
CountryJapan
CityTokyo
Period11/18/0711/22/07

Fingerprint

Shape Reconstruction
Calibration
Metric
Light sources
Cameras
Simultaneous equations
Experiments
Range of data
Straight
Camera
Verify
Unknown
Experiment

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kawasaki, H., & Furukawa, R. (2007). Shape reconstruction from cast shadows using coplanarities and metric constraints. In Computer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings (PART 2 ed., pp. 847-857). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4844 LNCS, No. PART 2).

Shape reconstruction from cast shadows using coplanarities and metric constraints. / Kawasaki, Hiroshi; Furukawa, Ryo.

Computer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings. PART 2. ed. 2007. p. 847-857 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4844 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kawasaki, H & Furukawa, R 2007, Shape reconstruction from cast shadows using coplanarities and metric constraints. in Computer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, 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. 4844 LNCS, pp. 847-857, 8th Asian Conference on Computer Vision, ACCV 2007, Tokyo, Japan, 11/18/07.
Kawasaki H, Furukawa R. Shape reconstruction from cast shadows using coplanarities and metric constraints. In Computer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings. PART 2 ed. 2007. p. 847-857. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
Kawasaki, Hiroshi ; Furukawa, Ryo. / Shape reconstruction from cast shadows using coplanarities and metric constraints. Computer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings. PART 2. ed. 2007. pp. 847-857 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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